diff --git a/README.md b/README.md
index 648838963a..644ea97b74 100644
--- a/README.md
+++ b/README.md
@@ -91,6 +91,7 @@ Supported [datasets](https://mmpose.readthedocs.io/en/latest/datasets.html):
 
 - [x] [COCO](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#coco-eccv-2014) \[[homepage](http://cocodataset.org/)\] (ECCV'2014)
 - [x] [COCO-WholeBody](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#coco-wholebody-eccv-2020) \[[homepage](https://github.com/jin-s13/COCO-WholeBody/)\] (ECCV'2020)
+- [x] [Halpe](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#halpe-cvpr-2020) \[[homepage](https://github.com/Fang-Haoshu/Halpe-FullBody/)\] (CVPR'2020)
 - [x] [MPII](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#mpii-cvpr-2014) \[[homepage](http://human-pose.mpi-inf.mpg.de/)\] (CVPR'2014)
 - [x] [MPII-TRB](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#mpii-trb-iccv-2019) \[[homepage](https://github.com/kennymckormick/Triplet-Representation-of-human-Body)\] (ICCV'2019)
 - [x] [AI Challenger](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#ai-challenger-arxiv-2017) \[[homepage](https://github.com/AIChallenger/AI_Challenger_2017)\] (ArXiv'2017)
diff --git a/README_CN.md b/README_CN.md
index bb267b0d13..9ab5e68edf 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -91,6 +91,7 @@ https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-
 
 - [x] [COCO](https://mmpose.readthedocs.io/zh_CN/latest/papers/datasets.html#coco-eccv-2014) \[[homepage](http://cocodataset.org/)\] (ECCV'2014)
 - [x] [COCO-WholeBody](https://mmpose.readthedocs.io/zh_CN/latest/papers/datasets.html#coco-wholebody-eccv-2020) \[[homepage](https://github.com/jin-s13/COCO-WholeBody/)\] (ECCV'2020)
+- [x] [Halpe](https://mmpose.readthedocs.io/en/latest/papers/datasets.html#halpe-cvpr-2020) \[[homepage](https://github.com/Fang-Haoshu/Halpe-FullBody/)\] (CVPR'2020)
 - [x] [MPII](https://mmpose.readthedocs.io/zh_CN/latest/papers/datasets.html#mpii-cvpr-2014) \[[homepage](http://human-pose.mpi-inf.mpg.de/)\] (CVPR'2014)
 - [x] [MPII-TRB](https://mmpose.readthedocs.io/zh_CN/latest/papers/datasets.html#mpii-trb-iccv-2019) \[[homepage](https://github.com/kennymckormick/Triplet-Representation-of-human-Body)\] (ICCV'2019)
 - [x] [AI Challenger](https://mmpose.readthedocs.io/zh_CN/latest/papers/datasets.html#ai-challenger-arxiv-2017) \[[homepage](https://github.com/AIChallenger/AI_Challenger_2017)\] (ArXiv'2017)
diff --git a/configs/_base_/datasets/halpe.py b/configs/_base_/datasets/halpe.py
new file mode 100644
index 0000000000..1385fe81dc
--- /dev/null
+++ b/configs/_base_/datasets/halpe.py
@@ -0,0 +1,1157 @@
+dataset_info = dict(
+    dataset_name='halpe',
+    paper_info=dict(
+        author='Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie'
+        ' and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu'
+        ' and Ma, Ze and Chen, Mingyang and Lu, Cewu',
+        title='PaStaNet: Toward Human Activity Knowledge Engine',
+        container='CVPR',
+        year='2020',
+        homepage='https://github.com/Fang-Haoshu/Halpe-FullBody/',
+    ),
+    keypoint_info={
+        0:
+        dict(name='nose', id=0, color=[51, 153, 255], type='upper', swap=''),
+        1:
+        dict(
+            name='left_eye',
+            id=1,
+            color=[51, 153, 255],
+            type='upper',
+            swap='right_eye'),
+        2:
+        dict(
+            name='right_eye',
+            id=2,
+            color=[51, 153, 255],
+            type='upper',
+            swap='left_eye'),
+        3:
+        dict(
+            name='left_ear',
+            id=3,
+            color=[51, 153, 255],
+            type='upper',
+            swap='right_ear'),
+        4:
+        dict(
+            name='right_ear',
+            id=4,
+            color=[51, 153, 255],
+            type='upper',
+            swap='left_ear'),
+        5:
+        dict(
+            name='left_shoulder',
+            id=5,
+            color=[0, 255, 0],
+            type='upper',
+            swap='right_shoulder'),
+        6:
+        dict(
+            name='right_shoulder',
+            id=6,
+            color=[255, 128, 0],
+            type='upper',
+            swap='left_shoulder'),
+        7:
+        dict(
+            name='left_elbow',
+            id=7,
+            color=[0, 255, 0],
+            type='upper',
+            swap='right_elbow'),
+        8:
+        dict(
+            name='right_elbow',
+            id=8,
+            color=[255, 128, 0],
+            type='upper',
+            swap='left_elbow'),
+        9:
+        dict(
+            name='left_wrist',
+            id=9,
+            color=[0, 255, 0],
+            type='upper',
+            swap='right_wrist'),
+        10:
+        dict(
+            name='right_wrist',
+            id=10,
+            color=[255, 128, 0],
+            type='upper',
+            swap='left_wrist'),
+        11:
+        dict(
+            name='left_hip',
+            id=11,
+            color=[0, 255, 0],
+            type='lower',
+            swap='right_hip'),
+        12:
+        dict(
+            name='right_hip',
+            id=12,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_hip'),
+        13:
+        dict(
+            name='left_knee',
+            id=13,
+            color=[0, 255, 0],
+            type='lower',
+            swap='right_knee'),
+        14:
+        dict(
+            name='right_knee',
+            id=14,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_knee'),
+        15:
+        dict(
+            name='left_ankle',
+            id=15,
+            color=[0, 255, 0],
+            type='lower',
+            swap='right_ankle'),
+        16:
+        dict(
+            name='right_ankle',
+            id=16,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_ankle'),
+        17:
+        dict(name='head', id=17, color=[255, 128, 0], type='upper', swap=''),
+        18:
+        dict(name='neck', id=18, color=[255, 128, 0], type='upper', swap=''),
+        19:
+        dict(name='hip', id=19, color=[255, 128, 0], type='lower', swap=''),
+        20:
+        dict(
+            name='left_big_toe',
+            id=20,
+            color=[255, 128, 0],
+            type='lower',
+            swap='right_big_toe'),
+        21:
+        dict(
+            name='right_big_toe',
+            id=21,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_big_toe'),
+        22:
+        dict(
+            name='left_small_toe',
+            id=22,
+            color=[255, 128, 0],
+            type='lower',
+            swap='right_small_toe'),
+        23:
+        dict(
+            name='right_small_toe',
+            id=23,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_small_toe'),
+        24:
+        dict(
+            name='left_heel',
+            id=24,
+            color=[255, 128, 0],
+            type='lower',
+            swap='right_heel'),
+        25:
+        dict(
+            name='right_heel',
+            id=25,
+            color=[255, 128, 0],
+            type='lower',
+            swap='left_heel'),
+        26:
+        dict(
+            name='face-0',
+            id=26,
+            color=[255, 255, 255],
+            type='',
+            swap='face-16'),
+        27:
+        dict(
+            name='face-1',
+            id=27,
+            color=[255, 255, 255],
+            type='',
+            swap='face-15'),
+        28:
+        dict(
+            name='face-2',
+            id=28,
+            color=[255, 255, 255],
+            type='',
+            swap='face-14'),
+        29:
+        dict(
+            name='face-3',
+            id=29,
+            color=[255, 255, 255],
+            type='',
+            swap='face-13'),
+        30:
+        dict(
+            name='face-4',
+            id=30,
+            color=[255, 255, 255],
+            type='',
+            swap='face-12'),
+        31:
+        dict(
+            name='face-5',
+            id=31,
+            color=[255, 255, 255],
+            type='',
+            swap='face-11'),
+        32:
+        dict(
+            name='face-6',
+            id=32,
+            color=[255, 255, 255],
+            type='',
+            swap='face-10'),
+        33:
+        dict(
+            name='face-7',
+            id=33,
+            color=[255, 255, 255],
+            type='',
+            swap='face-9'),
+        34:
+        dict(name='face-8', id=34, color=[255, 255, 255], type='', swap=''),
+        35:
+        dict(
+            name='face-9',
+            id=35,
+            color=[255, 255, 255],
+            type='',
+            swap='face-7'),
+        36:
+        dict(
+            name='face-10',
+            id=36,
+            color=[255, 255, 255],
+            type='',
+            swap='face-6'),
+        37:
+        dict(
+            name='face-11',
+            id=37,
+            color=[255, 255, 255],
+            type='',
+            swap='face-5'),
+        38:
+        dict(
+            name='face-12',
+            id=38,
+            color=[255, 255, 255],
+            type='',
+            swap='face-4'),
+        39:
+        dict(
+            name='face-13',
+            id=39,
+            color=[255, 255, 255],
+            type='',
+            swap='face-3'),
+        40:
+        dict(
+            name='face-14',
+            id=40,
+            color=[255, 255, 255],
+            type='',
+            swap='face-2'),
+        41:
+        dict(
+            name='face-15',
+            id=41,
+            color=[255, 255, 255],
+            type='',
+            swap='face-1'),
+        42:
+        dict(
+            name='face-16',
+            id=42,
+            color=[255, 255, 255],
+            type='',
+            swap='face-0'),
+        43:
+        dict(
+            name='face-17',
+            id=43,
+            color=[255, 255, 255],
+            type='',
+            swap='face-26'),
+        44:
+        dict(
+            name='face-18',
+            id=44,
+            color=[255, 255, 255],
+            type='',
+            swap='face-25'),
+        45:
+        dict(
+            name='face-19',
+            id=45,
+            color=[255, 255, 255],
+            type='',
+            swap='face-24'),
+        46:
+        dict(
+            name='face-20',
+            id=46,
+            color=[255, 255, 255],
+            type='',
+            swap='face-23'),
+        47:
+        dict(
+            name='face-21',
+            id=47,
+            color=[255, 255, 255],
+            type='',
+            swap='face-22'),
+        48:
+        dict(
+            name='face-22',
+            id=48,
+            color=[255, 255, 255],
+            type='',
+            swap='face-21'),
+        49:
+        dict(
+            name='face-23',
+            id=49,
+            color=[255, 255, 255],
+            type='',
+            swap='face-20'),
+        50:
+        dict(
+            name='face-24',
+            id=50,
+            color=[255, 255, 255],
+            type='',
+            swap='face-19'),
+        51:
+        dict(
+            name='face-25',
+            id=51,
+            color=[255, 255, 255],
+            type='',
+            swap='face-18'),
+        52:
+        dict(
+            name='face-26',
+            id=52,
+            color=[255, 255, 255],
+            type='',
+            swap='face-17'),
+        53:
+        dict(name='face-27', id=53, color=[255, 255, 255], type='', swap=''),
+        54:
+        dict(name='face-28', id=54, color=[255, 255, 255], type='', swap=''),
+        55:
+        dict(name='face-29', id=55, color=[255, 255, 255], type='', swap=''),
+        56:
+        dict(name='face-30', id=56, color=[255, 255, 255], type='', swap=''),
+        57:
+        dict(
+            name='face-31',
+            id=57,
+            color=[255, 255, 255],
+            type='',
+            swap='face-35'),
+        58:
+        dict(
+            name='face-32',
+            id=58,
+            color=[255, 255, 255],
+            type='',
+            swap='face-34'),
+        59:
+        dict(name='face-33', id=59, color=[255, 255, 255], type='', swap=''),
+        60:
+        dict(
+            name='face-34',
+            id=60,
+            color=[255, 255, 255],
+            type='',
+            swap='face-32'),
+        61:
+        dict(
+            name='face-35',
+            id=61,
+            color=[255, 255, 255],
+            type='',
+            swap='face-31'),
+        62:
+        dict(
+            name='face-36',
+            id=62,
+            color=[255, 255, 255],
+            type='',
+            swap='face-45'),
+        63:
+        dict(
+            name='face-37',
+            id=63,
+            color=[255, 255, 255],
+            type='',
+            swap='face-44'),
+        64:
+        dict(
+            name='face-38',
+            id=64,
+            color=[255, 255, 255],
+            type='',
+            swap='face-43'),
+        65:
+        dict(
+            name='face-39',
+            id=65,
+            color=[255, 255, 255],
+            type='',
+            swap='face-42'),
+        66:
+        dict(
+            name='face-40',
+            id=66,
+            color=[255, 255, 255],
+            type='',
+            swap='face-47'),
+        67:
+        dict(
+            name='face-41',
+            id=67,
+            color=[255, 255, 255],
+            type='',
+            swap='face-46'),
+        68:
+        dict(
+            name='face-42',
+            id=68,
+            color=[255, 255, 255],
+            type='',
+            swap='face-39'),
+        69:
+        dict(
+            name='face-43',
+            id=69,
+            color=[255, 255, 255],
+            type='',
+            swap='face-38'),
+        70:
+        dict(
+            name='face-44',
+            id=70,
+            color=[255, 255, 255],
+            type='',
+            swap='face-37'),
+        71:
+        dict(
+            name='face-45',
+            id=71,
+            color=[255, 255, 255],
+            type='',
+            swap='face-36'),
+        72:
+        dict(
+            name='face-46',
+            id=72,
+            color=[255, 255, 255],
+            type='',
+            swap='face-41'),
+        73:
+        dict(
+            name='face-47',
+            id=73,
+            color=[255, 255, 255],
+            type='',
+            swap='face-40'),
+        74:
+        dict(
+            name='face-48',
+            id=74,
+            color=[255, 255, 255],
+            type='',
+            swap='face-54'),
+        75:
+        dict(
+            name='face-49',
+            id=75,
+            color=[255, 255, 255],
+            type='',
+            swap='face-53'),
+        76:
+        dict(
+            name='face-50',
+            id=76,
+            color=[255, 255, 255],
+            type='',
+            swap='face-52'),
+        77:
+        dict(name='face-51', id=77, color=[255, 255, 255], type='', swap=''),
+        78:
+        dict(
+            name='face-52',
+            id=78,
+            color=[255, 255, 255],
+            type='',
+            swap='face-50'),
+        79:
+        dict(
+            name='face-53',
+            id=79,
+            color=[255, 255, 255],
+            type='',
+            swap='face-49'),
+        80:
+        dict(
+            name='face-54',
+            id=80,
+            color=[255, 255, 255],
+            type='',
+            swap='face-48'),
+        81:
+        dict(
+            name='face-55',
+            id=81,
+            color=[255, 255, 255],
+            type='',
+            swap='face-59'),
+        82:
+        dict(
+            name='face-56',
+            id=82,
+            color=[255, 255, 255],
+            type='',
+            swap='face-58'),
+        83:
+        dict(name='face-57', id=83, color=[255, 255, 255], type='', swap=''),
+        84:
+        dict(
+            name='face-58',
+            id=84,
+            color=[255, 255, 255],
+            type='',
+            swap='face-56'),
+        85:
+        dict(
+            name='face-59',
+            id=85,
+            color=[255, 255, 255],
+            type='',
+            swap='face-55'),
+        86:
+        dict(
+            name='face-60',
+            id=86,
+            color=[255, 255, 255],
+            type='',
+            swap='face-64'),
+        87:
+        dict(
+            name='face-61',
+            id=87,
+            color=[255, 255, 255],
+            type='',
+            swap='face-63'),
+        88:
+        dict(name='face-62', id=88, color=[255, 255, 255], type='', swap=''),
+        89:
+        dict(
+            name='face-63',
+            id=89,
+            color=[255, 255, 255],
+            type='',
+            swap='face-61'),
+        90:
+        dict(
+            name='face-64',
+            id=90,
+            color=[255, 255, 255],
+            type='',
+            swap='face-60'),
+        91:
+        dict(
+            name='face-65',
+            id=91,
+            color=[255, 255, 255],
+            type='',
+            swap='face-67'),
+        92:
+        dict(name='face-66', id=92, color=[255, 255, 255], type='', swap=''),
+        93:
+        dict(
+            name='face-67',
+            id=93,
+            color=[255, 255, 255],
+            type='',
+            swap='face-65'),
+        94:
+        dict(
+            name='left_hand_root',
+            id=94,
+            color=[255, 255, 255],
+            type='',
+            swap='right_hand_root'),
+        95:
+        dict(
+            name='left_thumb1',
+            id=95,
+            color=[255, 128, 0],
+            type='',
+            swap='right_thumb1'),
+        96:
+        dict(
+            name='left_thumb2',
+            id=96,
+            color=[255, 128, 0],
+            type='',
+            swap='right_thumb2'),
+        97:
+        dict(
+            name='left_thumb3',
+            id=97,
+            color=[255, 128, 0],
+            type='',
+            swap='right_thumb3'),
+        98:
+        dict(
+            name='left_thumb4',
+            id=98,
+            color=[255, 128, 0],
+            type='',
+            swap='right_thumb4'),
+        99:
+        dict(
+            name='left_forefinger1',
+            id=99,
+            color=[255, 153, 255],
+            type='',
+            swap='right_forefinger1'),
+        100:
+        dict(
+            name='left_forefinger2',
+            id=100,
+            color=[255, 153, 255],
+            type='',
+            swap='right_forefinger2'),
+        101:
+        dict(
+            name='left_forefinger3',
+            id=101,
+            color=[255, 153, 255],
+            type='',
+            swap='right_forefinger3'),
+        102:
+        dict(
+            name='left_forefinger4',
+            id=102,
+            color=[255, 153, 255],
+            type='',
+            swap='right_forefinger4'),
+        103:
+        dict(
+            name='left_middle_finger1',
+            id=103,
+            color=[102, 178, 255],
+            type='',
+            swap='right_middle_finger1'),
+        104:
+        dict(
+            name='left_middle_finger2',
+            id=104,
+            color=[102, 178, 255],
+            type='',
+            swap='right_middle_finger2'),
+        105:
+        dict(
+            name='left_middle_finger3',
+            id=105,
+            color=[102, 178, 255],
+            type='',
+            swap='right_middle_finger3'),
+        106:
+        dict(
+            name='left_middle_finger4',
+            id=106,
+            color=[102, 178, 255],
+            type='',
+            swap='right_middle_finger4'),
+        107:
+        dict(
+            name='left_ring_finger1',
+            id=107,
+            color=[255, 51, 51],
+            type='',
+            swap='right_ring_finger1'),
+        108:
+        dict(
+            name='left_ring_finger2',
+            id=108,
+            color=[255, 51, 51],
+            type='',
+            swap='right_ring_finger2'),
+        109:
+        dict(
+            name='left_ring_finger3',
+            id=109,
+            color=[255, 51, 51],
+            type='',
+            swap='right_ring_finger3'),
+        110:
+        dict(
+            name='left_ring_finger4',
+            id=110,
+            color=[255, 51, 51],
+            type='',
+            swap='right_ring_finger4'),
+        111:
+        dict(
+            name='left_pinky_finger1',
+            id=111,
+            color=[0, 255, 0],
+            type='',
+            swap='right_pinky_finger1'),
+        112:
+        dict(
+            name='left_pinky_finger2',
+            id=112,
+            color=[0, 255, 0],
+            type='',
+            swap='right_pinky_finger2'),
+        113:
+        dict(
+            name='left_pinky_finger3',
+            id=113,
+            color=[0, 255, 0],
+            type='',
+            swap='right_pinky_finger3'),
+        114:
+        dict(
+            name='left_pinky_finger4',
+            id=114,
+            color=[0, 255, 0],
+            type='',
+            swap='right_pinky_finger4'),
+        115:
+        dict(
+            name='right_hand_root',
+            id=115,
+            color=[255, 255, 255],
+            type='',
+            swap='left_hand_root'),
+        116:
+        dict(
+            name='right_thumb1',
+            id=116,
+            color=[255, 128, 0],
+            type='',
+            swap='left_thumb1'),
+        117:
+        dict(
+            name='right_thumb2',
+            id=117,
+            color=[255, 128, 0],
+            type='',
+            swap='left_thumb2'),
+        118:
+        dict(
+            name='right_thumb3',
+            id=118,
+            color=[255, 128, 0],
+            type='',
+            swap='left_thumb3'),
+        119:
+        dict(
+            name='right_thumb4',
+            id=119,
+            color=[255, 128, 0],
+            type='',
+            swap='left_thumb4'),
+        120:
+        dict(
+            name='right_forefinger1',
+            id=120,
+            color=[255, 153, 255],
+            type='',
+            swap='left_forefinger1'),
+        121:
+        dict(
+            name='right_forefinger2',
+            id=121,
+            color=[255, 153, 255],
+            type='',
+            swap='left_forefinger2'),
+        122:
+        dict(
+            name='right_forefinger3',
+            id=122,
+            color=[255, 153, 255],
+            type='',
+            swap='left_forefinger3'),
+        123:
+        dict(
+            name='right_forefinger4',
+            id=123,
+            color=[255, 153, 255],
+            type='',
+            swap='left_forefinger4'),
+        124:
+        dict(
+            name='right_middle_finger1',
+            id=124,
+            color=[102, 178, 255],
+            type='',
+            swap='left_middle_finger1'),
+        125:
+        dict(
+            name='right_middle_finger2',
+            id=125,
+            color=[102, 178, 255],
+            type='',
+            swap='left_middle_finger2'),
+        126:
+        dict(
+            name='right_middle_finger3',
+            id=126,
+            color=[102, 178, 255],
+            type='',
+            swap='left_middle_finger3'),
+        127:
+        dict(
+            name='right_middle_finger4',
+            id=127,
+            color=[102, 178, 255],
+            type='',
+            swap='left_middle_finger4'),
+        128:
+        dict(
+            name='right_ring_finger1',
+            id=128,
+            color=[255, 51, 51],
+            type='',
+            swap='left_ring_finger1'),
+        129:
+        dict(
+            name='right_ring_finger2',
+            id=129,
+            color=[255, 51, 51],
+            type='',
+            swap='left_ring_finger2'),
+        130:
+        dict(
+            name='right_ring_finger3',
+            id=130,
+            color=[255, 51, 51],
+            type='',
+            swap='left_ring_finger3'),
+        131:
+        dict(
+            name='right_ring_finger4',
+            id=131,
+            color=[255, 51, 51],
+            type='',
+            swap='left_ring_finger4'),
+        132:
+        dict(
+            name='right_pinky_finger1',
+            id=132,
+            color=[0, 255, 0],
+            type='',
+            swap='left_pinky_finger1'),
+        133:
+        dict(
+            name='right_pinky_finger2',
+            id=133,
+            color=[0, 255, 0],
+            type='',
+            swap='left_pinky_finger2'),
+        134:
+        dict(
+            name='right_pinky_finger3',
+            id=134,
+            color=[0, 255, 0],
+            type='',
+            swap='left_pinky_finger3'),
+        135:
+        dict(
+            name='right_pinky_finger4',
+            id=135,
+            color=[0, 255, 0],
+            type='',
+            swap='left_pinky_finger4')
+    },
+    skeleton_info={
+        0:
+        dict(link=('left_ankle', 'left_knee'), id=0, color=[0, 255, 0]),
+        1:
+        dict(link=('left_knee', 'left_hip'), id=1, color=[0, 255, 0]),
+        2:
+        dict(link=('left_hip', 'hip'), id=2, color=[0, 255, 0]),
+        3:
+        dict(link=('right_ankle', 'right_knee'), id=3, color=[255, 128, 0]),
+        4:
+        dict(link=('right_knee', 'right_hip'), id=4, color=[255, 128, 0]),
+        5:
+        dict(link=('right_hip', 'hip'), id=5, color=[255, 128, 0]),
+        6:
+        dict(link=('head', 'neck'), id=6, color=[51, 153, 255]),
+        7:
+        dict(link=('neck', 'hip'), id=7, color=[51, 153, 255]),
+        8:
+        dict(link=('neck', 'left_shoulder'), id=8, color=[0, 255, 0]),
+        9:
+        dict(link=('left_shoulder', 'left_elbow'), id=9, color=[0, 255, 0]),
+        10:
+        dict(link=('left_elbow', 'left_wrist'), id=10, color=[0, 255, 0]),
+        11:
+        dict(link=('neck', 'right_shoulder'), id=11, color=[255, 128, 0]),
+        12:
+        dict(
+            link=('right_shoulder', 'right_elbow'), id=12, color=[255, 128,
+                                                                  0]),
+        13:
+        dict(link=('right_elbow', 'right_wrist'), id=13, color=[255, 128, 0]),
+        14:
+        dict(link=('left_eye', 'right_eye'), id=14, color=[51, 153, 255]),
+        15:
+        dict(link=('nose', 'left_eye'), id=15, color=[51, 153, 255]),
+        16:
+        dict(link=('nose', 'right_eye'), id=16, color=[51, 153, 255]),
+        17:
+        dict(link=('left_eye', 'left_ear'), id=17, color=[51, 153, 255]),
+        18:
+        dict(link=('right_eye', 'right_ear'), id=18, color=[51, 153, 255]),
+        19:
+        dict(link=('left_ear', 'left_shoulder'), id=19, color=[51, 153, 255]),
+        20:
+        dict(
+            link=('right_ear', 'right_shoulder'), id=20, color=[51, 153, 255]),
+        21:
+        dict(link=('left_ankle', 'left_big_toe'), id=21, color=[0, 255, 0]),
+        22:
+        dict(link=('left_ankle', 'left_small_toe'), id=22, color=[0, 255, 0]),
+        23:
+        dict(link=('left_ankle', 'left_heel'), id=23, color=[0, 255, 0]),
+        24:
+        dict(
+            link=('right_ankle', 'right_big_toe'), id=24, color=[255, 128, 0]),
+        25:
+        dict(
+            link=('right_ankle', 'right_small_toe'),
+            id=25,
+            color=[255, 128, 0]),
+        26:
+        dict(link=('right_ankle', 'right_heel'), id=26, color=[255, 128, 0]),
+        27:
+        dict(link=('left_wrist', 'left_thumb1'), id=27, color=[255, 128, 0]),
+        28:
+        dict(link=('left_thumb1', 'left_thumb2'), id=28, color=[255, 128, 0]),
+        29:
+        dict(link=('left_thumb2', 'left_thumb3'), id=29, color=[255, 128, 0]),
+        30:
+        dict(link=('left_thumb3', 'left_thumb4'), id=30, color=[255, 128, 0]),
+        31:
+        dict(
+            link=('left_wrist', 'left_forefinger1'),
+            id=31,
+            color=[255, 153, 255]),
+        32:
+        dict(
+            link=('left_forefinger1', 'left_forefinger2'),
+            id=32,
+            color=[255, 153, 255]),
+        33:
+        dict(
+            link=('left_forefinger2', 'left_forefinger3'),
+            id=33,
+            color=[255, 153, 255]),
+        34:
+        dict(
+            link=('left_forefinger3', 'left_forefinger4'),
+            id=34,
+            color=[255, 153, 255]),
+        35:
+        dict(
+            link=('left_wrist', 'left_middle_finger1'),
+            id=35,
+            color=[102, 178, 255]),
+        36:
+        dict(
+            link=('left_middle_finger1', 'left_middle_finger2'),
+            id=36,
+            color=[102, 178, 255]),
+        37:
+        dict(
+            link=('left_middle_finger2', 'left_middle_finger3'),
+            id=37,
+            color=[102, 178, 255]),
+        38:
+        dict(
+            link=('left_middle_finger3', 'left_middle_finger4'),
+            id=38,
+            color=[102, 178, 255]),
+        39:
+        dict(
+            link=('left_wrist', 'left_ring_finger1'),
+            id=39,
+            color=[255, 51, 51]),
+        40:
+        dict(
+            link=('left_ring_finger1', 'left_ring_finger2'),
+            id=40,
+            color=[255, 51, 51]),
+        41:
+        dict(
+            link=('left_ring_finger2', 'left_ring_finger3'),
+            id=41,
+            color=[255, 51, 51]),
+        42:
+        dict(
+            link=('left_ring_finger3', 'left_ring_finger4'),
+            id=42,
+            color=[255, 51, 51]),
+        43:
+        dict(
+            link=('left_wrist', 'left_pinky_finger1'),
+            id=43,
+            color=[0, 255, 0]),
+        44:
+        dict(
+            link=('left_pinky_finger1', 'left_pinky_finger2'),
+            id=44,
+            color=[0, 255, 0]),
+        45:
+        dict(
+            link=('left_pinky_finger2', 'left_pinky_finger3'),
+            id=45,
+            color=[0, 255, 0]),
+        46:
+        dict(
+            link=('left_pinky_finger3', 'left_pinky_finger4'),
+            id=46,
+            color=[0, 255, 0]),
+        47:
+        dict(link=('right_wrist', 'right_thumb1'), id=47, color=[255, 128, 0]),
+        48:
+        dict(
+            link=('right_thumb1', 'right_thumb2'), id=48, color=[255, 128, 0]),
+        49:
+        dict(
+            link=('right_thumb2', 'right_thumb3'), id=49, color=[255, 128, 0]),
+        50:
+        dict(
+            link=('right_thumb3', 'right_thumb4'), id=50, color=[255, 128, 0]),
+        51:
+        dict(
+            link=('right_wrist', 'right_forefinger1'),
+            id=51,
+            color=[255, 153, 255]),
+        52:
+        dict(
+            link=('right_forefinger1', 'right_forefinger2'),
+            id=52,
+            color=[255, 153, 255]),
+        53:
+        dict(
+            link=('right_forefinger2', 'right_forefinger3'),
+            id=53,
+            color=[255, 153, 255]),
+        54:
+        dict(
+            link=('right_forefinger3', 'right_forefinger4'),
+            id=54,
+            color=[255, 153, 255]),
+        55:
+        dict(
+            link=('right_wrist', 'right_middle_finger1'),
+            id=55,
+            color=[102, 178, 255]),
+        56:
+        dict(
+            link=('right_middle_finger1', 'right_middle_finger2'),
+            id=56,
+            color=[102, 178, 255]),
+        57:
+        dict(
+            link=('right_middle_finger2', 'right_middle_finger3'),
+            id=57,
+            color=[102, 178, 255]),
+        58:
+        dict(
+            link=('right_middle_finger3', 'right_middle_finger4'),
+            id=58,
+            color=[102, 178, 255]),
+        59:
+        dict(
+            link=('right_wrist', 'right_ring_finger1'),
+            id=59,
+            color=[255, 51, 51]),
+        60:
+        dict(
+            link=('right_ring_finger1', 'right_ring_finger2'),
+            id=60,
+            color=[255, 51, 51]),
+        61:
+        dict(
+            link=('right_ring_finger2', 'right_ring_finger3'),
+            id=61,
+            color=[255, 51, 51]),
+        62:
+        dict(
+            link=('right_ring_finger3', 'right_ring_finger4'),
+            id=62,
+            color=[255, 51, 51]),
+        63:
+        dict(
+            link=('right_wrist', 'right_pinky_finger1'),
+            id=63,
+            color=[0, 255, 0]),
+        64:
+        dict(
+            link=('right_pinky_finger1', 'right_pinky_finger2'),
+            id=64,
+            color=[0, 255, 0]),
+        65:
+        dict(
+            link=('right_pinky_finger2', 'right_pinky_finger3'),
+            id=65,
+            color=[0, 255, 0]),
+        66:
+        dict(
+            link=('right_pinky_finger3', 'right_pinky_finger4'),
+            id=66,
+            color=[0, 255, 0])
+    },
+    joint_weights=[1.] * 136,
+
+    # 'https://github.com/Fang-Haoshu/Halpe-FullBody/blob/master/'
+    # 'HalpeCOCOAPI/PythonAPI/halpecocotools/cocoeval.py#L245'
+    sigmas=[
+        0.026, 0.025, 0.025, 0.035, 0.035, 0.079, 0.079, 0.072, 0.072, 0.062,
+        0.062, 0.107, 0.107, 0.087, 0.087, 0.089, 0.089, 0.08, 0.08, 0.08,
+        0.089, 0.089, 0.089, 0.089, 0.089, 0.089, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015,
+        0.015, 0.015, 0.015, 0.015, 0.015, 0.015
+    ])
diff --git a/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.md b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.md
new file mode 100644
index 0000000000..1b22b4b53d
--- /dev/null
+++ b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.md
@@ -0,0 +1,57 @@
+<!-- [ALGORITHM] -->
+
+<details>
+<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html">HRNet (CVPR'2019)</a></summary>
+
+```bibtex
+@inproceedings{sun2019deep,
+  title={Deep high-resolution representation learning for human pose estimation},
+  author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
+  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
+  pages={5693--5703},
+  year={2019}
+}
+```
+
+</details>
+
+<!-- [ALGORITHM] -->
+
+<details>
+<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Distribution-Aware_Coordinate_Representation_for_Human_Pose_Estimation_CVPR_2020_paper.html">DarkPose (CVPR'2020)</a></summary>
+
+```bibtex
+@inproceedings{zhang2020distribution,
+  title={Distribution-aware coordinate representation for human pose estimation},
+  author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={7093--7102},
+  year={2020}
+}
+```
+
+</details>
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://arxiv.org/abs/2004.00945">Halpe (CVPR'2020)</a></summary>
+
+```bibtex
+@inproceedings{li2020pastanet,
+  title={PaStaNet: Toward Human Activity Knowledge Engine},
+  author={Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
+  booktitle={CVPR},
+  year={2020}
+}
+```
+
+</details>
+
+Results on Halpe v1.0 val with detector having human AP of 56.4 on COCO val2017 dataset
+
+| Arch  | Input Size |  Whole AP | Whole AR | ckpt | log |
+| :---- | :--------: | :------: |:-------: |:------: | :------: |
+| [pose_hrnet_w48_dark+](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w48_halpe_384x288_dark_plus.py)  | 384x288 | 0.531 | 0.642 | [ckpt](https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_halpe_384x288_dark_plus-d13c2588_20211021.pth) | [log](https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_halpe_384x288_dark_plus_20211021.log.json) |
+
+Note: `+` means the model is first pre-trained on original COCO dataset, and then fine-tuned on Halpe dataset. We find this will lead to better performance.
diff --git a/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.yml b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.yml
new file mode 100644
index 0000000000..3319c2a4e6
--- /dev/null
+++ b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.yml
@@ -0,0 +1,23 @@
+Collections:
+- Metadata:
+    Architecture:
+    - HRNet
+    - DarkPose
+  Name: Wholebody 2D Keypoint topdown_heatmap halpe
+  Paper:
+    Title: Distribution-aware coordinate representation for human pose estimation
+    URL: http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Distribution-Aware_Coordinate_Representation_for_Human_Pose_Estimation_CVPR_2020_paper.html
+  README: configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.md
+Models:
+- Config: configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w48_halpe_384x288_dark_plus.py
+  In Collection: Wholebody 2D Keypoint topdown_heatmap halpe
+  Metadata:
+    Training Data: Halpe
+  Name: topdown_heatmap_hrnet_w48_halpe_384x288_dark_plus
+  Results:
+  - Dataset: Halpe
+    Metrics:
+      Whole AP: 0.531
+      Whole AR: 0.642
+    Task: Wholebody 2D Keypoint
+  Weights: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_halpe_384x288_dark_plus-d13c2588_20211021.pth
diff --git a/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w32_halpe_256x192.py b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w32_halpe_256x192.py
new file mode 100644
index 0000000000..090f6c0c3c
--- /dev/null
+++ b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w32_halpe_256x192.py
@@ -0,0 +1,174 @@
+_base_ = ['../../../../_base_/datasets/halpe.py']
+log_level = 'INFO'
+load_from = None
+resume_from = None
+dist_params = dict(backend='nccl')
+workflow = [('train', 1)]
+checkpoint_config = dict(interval=10)
+evaluation = dict(interval=10, metric='mAP', save_best='AP')
+
+optimizer = dict(
+    type='Adam',
+    lr=5e-4,
+)
+optimizer_config = dict(grad_clip=None)
+# learning policy
+lr_config = dict(
+    policy='step',
+    warmup='linear',
+    warmup_iters=500,
+    warmup_ratio=0.001,
+    step=[170, 200])
+total_epochs = 210
+log_config = dict(
+    interval=50,
+    hooks=[
+        dict(type='TextLoggerHook'),
+        # dict(type='TensorboardLoggerHook')
+    ])
+
+channel_cfg = dict(
+    num_output_channels=136,
+    dataset_joints=136,
+    dataset_channel=[
+        list(range(136)),
+    ],
+    inference_channel=list(range(136)))
+
+# model settings
+model = dict(
+    type='TopDown',
+    pretrained='https://download.openmmlab.com/mmpose/'
+    'pretrain_models/hrnet_w32-36af842e.pth',
+    backbone=dict(
+        type='HRNet',
+        in_channels=3,
+        extra=dict(
+            stage1=dict(
+                num_modules=1,
+                num_branches=1,
+                block='BOTTLENECK',
+                num_blocks=(4, ),
+                num_channels=(64, )),
+            stage2=dict(
+                num_modules=1,
+                num_branches=2,
+                block='BASIC',
+                num_blocks=(4, 4),
+                num_channels=(32, 64)),
+            stage3=dict(
+                num_modules=4,
+                num_branches=3,
+                block='BASIC',
+                num_blocks=(4, 4, 4),
+                num_channels=(32, 64, 128)),
+            stage4=dict(
+                num_modules=3,
+                num_branches=4,
+                block='BASIC',
+                num_blocks=(4, 4, 4, 4),
+                num_channels=(32, 64, 128, 256))),
+    ),
+    keypoint_head=dict(
+        type='TopdownHeatmapSimpleHead',
+        in_channels=32,
+        out_channels=channel_cfg['num_output_channels'],
+        num_deconv_layers=0,
+        extra=dict(final_conv_kernel=1, ),
+        loss_keypoint=dict(type='JointsMSELoss', use_target_weight=True)),
+    train_cfg=dict(),
+    test_cfg=dict(
+        flip_test=True,
+        post_process='default',
+        shift_heatmap=True,
+        modulate_kernel=11))
+
+data_cfg = dict(
+    image_size=[192, 256],
+    heatmap_size=[48, 64],
+    num_output_channels=channel_cfg['num_output_channels'],
+    num_joints=channel_cfg['dataset_joints'],
+    dataset_channel=channel_cfg['dataset_channel'],
+    inference_channel=channel_cfg['inference_channel'],
+    soft_nms=False,
+    nms_thr=1.0,
+    oks_thr=0.9,
+    vis_thr=0.2,
+    use_gt_bbox=False,
+    det_bbox_thr=0.0,
+    bbox_file='data/coco/person_detection_results/'
+    'COCO_val2017_detections_AP_H_56_person.json',
+)
+
+train_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='TopDownRandomFlip', flip_prob=0.5),
+    dict(
+        type='TopDownHalfBodyTransform',
+        num_joints_half_body=8,
+        prob_half_body=0.3),
+    dict(
+        type='TopDownGetRandomScaleRotation', rot_factor=40, scale_factor=0.5),
+    dict(type='TopDownAffine'),
+    dict(type='ToTensor'),
+    dict(
+        type='NormalizeTensor',
+        mean=[0.485, 0.456, 0.406],
+        std=[0.229, 0.224, 0.225]),
+    dict(type='TopDownGenerateTarget', sigma=2),
+    dict(
+        type='Collect',
+        keys=['img', 'target', 'target_weight'],
+        meta_keys=[
+            'image_file', 'joints_3d', 'joints_3d_visible', 'center', 'scale',
+            'rotation', 'bbox_score', 'flip_pairs'
+        ]),
+]
+
+val_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='TopDownAffine'),
+    dict(type='ToTensor'),
+    dict(
+        type='NormalizeTensor',
+        mean=[0.485, 0.456, 0.406],
+        std=[0.229, 0.224, 0.225]),
+    dict(
+        type='Collect',
+        keys=['img'],
+        meta_keys=[
+            'image_file', 'center', 'scale', 'rotation', 'bbox_score',
+            'flip_pairs'
+        ]),
+]
+
+test_pipeline = val_pipeline
+
+data_root = 'data/halpe'
+data = dict(
+    samples_per_gpu=64,
+    workers_per_gpu=2,
+    val_dataloader=dict(samples_per_gpu=32),
+    test_dataloader=dict(samples_per_gpu=32),
+    train=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_train_v1.json',
+        img_prefix=f'{data_root}/hico_20160224_det/images/train2015/',
+        data_cfg=data_cfg,
+        pipeline=train_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+    val=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_val_v1.json',
+        img_prefix=f'{data_root}/val2017/',
+        data_cfg=data_cfg,
+        pipeline=val_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+    test=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_val_v1.json',
+        img_prefix=f'{data_root}/val2017/',
+        data_cfg=data_cfg,
+        pipeline=val_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+)
diff --git a/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w48_halpe_384x288_dark_plus.py b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w48_halpe_384x288_dark_plus.py
new file mode 100644
index 0000000000..d2698ef0f8
--- /dev/null
+++ b/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_w48_halpe_384x288_dark_plus.py
@@ -0,0 +1,173 @@
+_base_ = ['../../../../_base_/datasets/halpe.py']
+log_level = 'INFO'
+load_from = 'https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_384x288_dark-741844ba_20200812.pth'  # noqa: E501
+resume_from = None
+dist_params = dict(backend='nccl')
+workflow = [('train', 1)]
+checkpoint_config = dict(interval=10)
+evaluation = dict(interval=10, metric='mAP', save_best='AP')
+
+optimizer = dict(
+    type='Adam',
+    lr=5e-4,
+)
+optimizer_config = dict(grad_clip=None)
+# learning policy
+lr_config = dict(
+    policy='step',
+    warmup='linear',
+    warmup_iters=500,
+    warmup_ratio=0.001,
+    step=[170, 200])
+total_epochs = 210
+log_config = dict(
+    interval=50,
+    hooks=[
+        dict(type='TextLoggerHook'),
+        # dict(type='TensorboardLoggerHook')
+    ])
+
+channel_cfg = dict(
+    num_output_channels=136,
+    dataset_joints=136,
+    dataset_channel=[
+        list(range(136)),
+    ],
+    inference_channel=list(range(136)))
+
+# model settings
+model = dict(
+    type='TopDown',
+    pretrained=None,
+    backbone=dict(
+        type='HRNet',
+        in_channels=3,
+        extra=dict(
+            stage1=dict(
+                num_modules=1,
+                num_branches=1,
+                block='BOTTLENECK',
+                num_blocks=(4, ),
+                num_channels=(64, )),
+            stage2=dict(
+                num_modules=1,
+                num_branches=2,
+                block='BASIC',
+                num_blocks=(4, 4),
+                num_channels=(48, 96)),
+            stage3=dict(
+                num_modules=4,
+                num_branches=3,
+                block='BASIC',
+                num_blocks=(4, 4, 4),
+                num_channels=(48, 96, 192)),
+            stage4=dict(
+                num_modules=3,
+                num_branches=4,
+                block='BASIC',
+                num_blocks=(4, 4, 4, 4),
+                num_channels=(48, 96, 192, 384))),
+    ),
+    keypoint_head=dict(
+        type='TopdownHeatmapSimpleHead',
+        in_channels=48,
+        out_channels=channel_cfg['num_output_channels'],
+        num_deconv_layers=0,
+        extra=dict(final_conv_kernel=1, ),
+        loss_keypoint=dict(type='JointsMSELoss', use_target_weight=True)),
+    train_cfg=dict(),
+    test_cfg=dict(
+        flip_test=True,
+        post_process='unbiased',
+        shift_heatmap=True,
+        modulate_kernel=17))
+
+data_cfg = dict(
+    image_size=[288, 384],
+    heatmap_size=[72, 96],
+    num_output_channels=channel_cfg['num_output_channels'],
+    num_joints=channel_cfg['dataset_joints'],
+    dataset_channel=channel_cfg['dataset_channel'],
+    inference_channel=channel_cfg['inference_channel'],
+    soft_nms=False,
+    nms_thr=1.0,
+    oks_thr=0.9,
+    vis_thr=0.2,
+    use_gt_bbox=False,
+    det_bbox_thr=0.0,
+    bbox_file='data/coco/person_detection_results/'
+    'COCO_val2017_detections_AP_H_56_person.json',
+)
+
+train_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='TopDownRandomFlip', flip_prob=0.5),
+    dict(
+        type='TopDownHalfBodyTransform',
+        num_joints_half_body=8,
+        prob_half_body=0.3),
+    dict(
+        type='TopDownGetRandomScaleRotation', rot_factor=40, scale_factor=0.5),
+    dict(type='TopDownAffine'),
+    dict(type='ToTensor'),
+    dict(
+        type='NormalizeTensor',
+        mean=[0.485, 0.456, 0.406],
+        std=[0.229, 0.224, 0.225]),
+    dict(type='TopDownGenerateTarget', sigma=3, unbiased_encoding=True),
+    dict(
+        type='Collect',
+        keys=['img', 'target', 'target_weight'],
+        meta_keys=[
+            'image_file', 'joints_3d', 'joints_3d_visible', 'center', 'scale',
+            'rotation', 'bbox_score', 'flip_pairs'
+        ]),
+]
+
+val_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='TopDownAffine'),
+    dict(type='ToTensor'),
+    dict(
+        type='NormalizeTensor',
+        mean=[0.485, 0.456, 0.406],
+        std=[0.229, 0.224, 0.225]),
+    dict(
+        type='Collect',
+        keys=['img'],
+        meta_keys=[
+            'image_file', 'center', 'scale', 'rotation', 'bbox_score',
+            'flip_pairs'
+        ]),
+]
+
+test_pipeline = val_pipeline
+
+data_root = 'data/halpe'
+data = dict(
+    samples_per_gpu=32,
+    workers_per_gpu=2,
+    val_dataloader=dict(samples_per_gpu=32),
+    test_dataloader=dict(samples_per_gpu=32),
+    train=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_train_v1.json',
+        img_prefix=f'{data_root}/hico_20160224_det/images/train2015/',
+        data_cfg=data_cfg,
+        pipeline=train_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+    val=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_val_v1.json',
+        img_prefix=f'{data_root}/val2017/',
+        data_cfg=data_cfg,
+        pipeline=val_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+    test=dict(
+        type='TopDownHalpeDataset',
+        ann_file=f'{data_root}/annotations/halpe_val_v1.json',
+        img_prefix=f'{data_root}/val2017/',
+        data_cfg=data_cfg,
+        pipeline=val_pipeline,
+        dataset_info={{_base_.dataset_info}}),
+)
diff --git a/docs/papers/datasets/halpe.md b/docs/papers/datasets/halpe.md
new file mode 100644
index 0000000000..f71793fdbd
--- /dev/null
+++ b/docs/papers/datasets/halpe.md
@@ -0,0 +1,17 @@
+# PaStaNet: Toward Human Activity Knowledge Engine
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://arxiv.org/abs/2004.00945">Halpe (CVPR'2020)</a></summary>
+
+```bibtex
+@inproceedings{li2020pastanet,
+  title={PaStaNet: Toward Human Activity Knowledge Engine},
+  author={Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
+  booktitle={CVPR},
+  year={2020}
+}
+```
+
+</details>
diff --git a/docs/tasks/2d_wholebody_keypoint.md b/docs/tasks/2d_wholebody_keypoint.md
index 3a3d47a7ef..e3d573ffbd 100644
--- a/docs/tasks/2d_wholebody_keypoint.md
+++ b/docs/tasks/2d_wholebody_keypoint.md
@@ -6,6 +6,7 @@ If your folder structure is different, you may need to change the corresponding
 MMPose supported datasets:
 
 - [COCO-WholeBody](#coco-wholebody) \[ [Homepage](https://github.com/jin-s13/COCO-WholeBody/) \]
+- [Halpe](#halpe) \[ [Homepage](https://github.com/Fang-Haoshu/Halpe-FullBody/) \]
 
 ## COCO-WholeBody
 
@@ -60,3 +61,65 @@ mmpose
 Please also install the latest version of [Extended COCO API](https://github.com/jin-s13/xtcocoapi) (version>=1.5) to support COCO-WholeBody evaluation:
 
 `pip install xtcocotools`
+
+## Halpe
+
+<!-- [DATASET] -->
+
+<details>
+<summary align="right"><a href="https://arxiv.org/abs/2004.00945">Halpe (CVPR'2020)</a></summary>
+
+```bibtex
+@inproceedings{li2020pastanet,
+  title={PaStaNet: Toward Human Activity Knowledge Engine},
+  author={Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
+  booktitle={CVPR},
+  year={2020}
+}
+```
+
+</details>
+
+For [Halpe](https://github.com/Fang-Haoshu/Halpe-FullBody/) dataset, please download images and annotations from [Halpe download](https://github.com/Fang-Haoshu/Halpe-FullBody).
+The images of the training set are from [HICO-Det](https://drive.google.com/open?id=1QZcJmGVlF9f4h-XLWe9Gkmnmj2z1gSnk) and those of the validation set are from [COCO](http://images.cocodataset.org/zips/val2017.zip).
+Download person detection result of COCO val2017 from [OneDrive](https://1drv.ms/f/s!AhIXJn_J-blWzzDXoz5BeFl8sWM-) or [GoogleDrive](https://drive.google.com/drive/folders/1fRUDNUDxe9fjqcRZ2bnF_TKMlO0nB_dk?usp=sharing).
+Download and extract them under $MMPOSE/data, and make them look like this:
+
+```text
+mmpose
+├── mmpose
+├── docs
+├── tests
+├── tools
+├── configs
+`── data
+    │── halpe
+        │-- annotations
+        │   │-- halpe_train_v1.json
+        │   |-- halpe_val_v1.json
+        |-- person_detection_results
+        |   |-- COCO_val2017_detections_AP_H_56_person.json
+        │-- hico_20160224_det
+        │   │-- anno_bbox.mat
+        │   │-- anno.mat
+        │   │-- README
+        │   │-- images
+        │   │   │-- train2015
+        │   │   │   │-- HICO_train2015_00000001.jpg
+        │   │   │   │-- HICO_train2015_00000002.jpg
+        │   │   │   │-- HICO_train2015_00000003.jpg
+        │   │   │   │-- ...
+        │   │   │-- test2015
+        │   │-- tools
+        │   │-- ...
+        `-- val2017
+            │-- 000000000139.jpg
+            │-- 000000000285.jpg
+            │-- 000000000632.jpg
+            │-- ...
+
+```
+
+Please also install the latest version of [Extended COCO API](https://github.com/jin-s13/xtcocoapi) (version>=1.5) to support Halpe evaluation:
+
+`pip install xtcocotools`
diff --git a/mmpose/datasets/datasets/__init__.py b/mmpose/datasets/datasets/__init__.py
index 6f54e7a466..2833ab8785 100644
--- a/mmpose/datasets/datasets/__init__.py
+++ b/mmpose/datasets/datasets/__init__.py
@@ -18,10 +18,10 @@
                    MoshDataset)
 from .top_down import (TopDownAicDataset, TopDownCocoDataset,
                        TopDownCocoWholeBodyDataset, TopDownCrowdPoseDataset,
-                       TopDownH36MDataset, TopDownJhmdbDataset,
-                       TopDownMhpDataset, TopDownMpiiDataset,
-                       TopDownMpiiTrbDataset, TopDownOCHumanDataset,
-                       TopDownPoseTrack18Dataset)
+                       TopDownH36MDataset, TopDownHalpeDataset,
+                       TopDownJhmdbDataset, TopDownMhpDataset,
+                       TopDownMpiiDataset, TopDownMpiiTrbDataset,
+                       TopDownOCHumanDataset, TopDownPoseTrack18Dataset)
 
 __all__ = [
     'TopDownCocoDataset', 'BottomUpCocoDataset', 'BottomUpMhpDataset',
@@ -38,5 +38,6 @@
     'FaceWFLWDataset', 'FaceCOFWDataset', 'FaceCocoWholeBodyDataset',
     'Body3DH36MDataset', 'AnimalHorse10Dataset', 'AnimalMacaqueDataset',
     'AnimalFlyDataset', 'AnimalLocustDataset', 'AnimalZebraDataset',
-    'AnimalATRWDataset', 'AnimalPoseDataset', 'TopDownH36MDataset'
+    'AnimalATRWDataset', 'AnimalPoseDataset', 'TopDownH36MDataset',
+    'TopDownHalpeDataset'
 ]
diff --git a/mmpose/datasets/datasets/top_down/__init__.py b/mmpose/datasets/datasets/top_down/__init__.py
index 72b99d4a8b..3228d070f2 100644
--- a/mmpose/datasets/datasets/top_down/__init__.py
+++ b/mmpose/datasets/datasets/top_down/__init__.py
@@ -4,6 +4,7 @@
 from .topdown_coco_wholebody_dataset import TopDownCocoWholeBodyDataset
 from .topdown_crowdpose_dataset import TopDownCrowdPoseDataset
 from .topdown_h36m_dataset import TopDownH36MDataset
+from .topdown_halpe_dataset import TopDownHalpeDataset
 from .topdown_jhmdb_dataset import TopDownJhmdbDataset
 from .topdown_mhp_dataset import TopDownMhpDataset
 from .topdown_mpii_dataset import TopDownMpiiDataset
@@ -15,5 +16,6 @@
     'TopDownAicDataset', 'TopDownCocoDataset', 'TopDownCocoWholeBodyDataset',
     'TopDownCrowdPoseDataset', 'TopDownMpiiDataset', 'TopDownMpiiTrbDataset',
     'TopDownOCHumanDataset', 'TopDownPoseTrack18Dataset',
-    'TopDownJhmdbDataset', 'TopDownMhpDataset', 'TopDownH36MDataset'
+    'TopDownJhmdbDataset', 'TopDownMhpDataset', 'TopDownH36MDataset',
+    'TopDownHalpeDataset'
 ]
diff --git a/mmpose/datasets/datasets/top_down/topdown_coco_wholebody_dataset.py b/mmpose/datasets/datasets/top_down/topdown_coco_wholebody_dataset.py
index ab3b10aa6e..126a0ce77a 100644
--- a/mmpose/datasets/datasets/top_down/topdown_coco_wholebody_dataset.py
+++ b/mmpose/datasets/datasets/top_down/topdown_coco_wholebody_dataset.py
@@ -105,6 +105,8 @@ def _load_coco_keypoint_annotation_kernel(self, img_id):
         # sanitize bboxes
         valid_objs = []
         for obj in objs:
+            if 'bbox' not in obj:
+                continue
             x, y, w, h = obj['bbox']
             x1 = max(0, x)
             y1 = max(0, y)
@@ -118,6 +120,8 @@ def _load_coco_keypoint_annotation_kernel(self, img_id):
         rec = []
         bbox_id = 0
         for obj in objs:
+            if 'keypoints' not in obj:
+                continue
             if max(obj['keypoints']) == 0:
                 continue
             joints_3d = np.zeros((num_joints, 3), dtype=np.float32)
diff --git a/mmpose/datasets/datasets/top_down/topdown_halpe_dataset.py b/mmpose/datasets/datasets/top_down/topdown_halpe_dataset.py
new file mode 100644
index 0000000000..96267a10a1
--- /dev/null
+++ b/mmpose/datasets/datasets/top_down/topdown_halpe_dataset.py
@@ -0,0 +1,76 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+import warnings
+
+from mmcv import Config
+
+from ...builder import DATASETS
+from .topdown_coco_dataset import TopDownCocoDataset
+
+
+@DATASETS.register_module()
+class TopDownHalpeDataset(TopDownCocoDataset):
+    """HalpeDataset for top-down pose estimation.
+
+    'https://github.com/Fang-Haoshu/Halpe-FullBody'
+
+    The dataset loads raw features and apply specified transforms
+    to return a dict containing the image tensors and other information.
+
+    In total, we have 136 keypoints for wholebody pose estimation.
+
+    Halpe keypoint indexes::
+        0-19: 20 body keypoints
+        20-25: 6 foot keypoints
+        26-93: 68 face keypoints
+        94-135: 42 hand keypoints
+
+    Args:
+        ann_file (str): Path to the annotation file.
+        img_prefix (str): Path to a directory where images are held.
+            Default: None.
+        data_cfg (dict): config
+        pipeline (list[dict | callable]): A sequence of data transforms.
+        dataset_info (DatasetInfo): A class containing all dataset info.
+        test_mode (bool): Store True when building test or
+            validation dataset. Default: False.
+    """
+
+    def __init__(self,
+                 ann_file,
+                 img_prefix,
+                 data_cfg,
+                 pipeline,
+                 dataset_info=None,
+                 test_mode=False):
+
+        if dataset_info is None:
+            warnings.warn(
+                'dataset_info is missing. '
+                'Check https://github.com/open-mmlab/mmpose/pull/663 '
+                'for details.', DeprecationWarning)
+            cfg = Config.fromfile('configs/_base_/datasets/halpe.py')
+            dataset_info = cfg._cfg_dict['dataset_info']
+
+        super(TopDownCocoDataset, self).__init__(
+            ann_file,
+            img_prefix,
+            data_cfg,
+            pipeline,
+            dataset_info=dataset_info,
+            test_mode=test_mode)
+
+        self.use_gt_bbox = data_cfg['use_gt_bbox']
+        self.bbox_file = data_cfg['bbox_file']
+        self.det_bbox_thr = data_cfg.get('det_bbox_thr', 0.0)
+        self.use_nms = data_cfg.get('use_nms', True)
+        self.soft_nms = data_cfg['soft_nms']
+        self.nms_thr = data_cfg['nms_thr']
+        self.oks_thr = data_cfg['oks_thr']
+        self.vis_thr = data_cfg['vis_thr']
+
+        self.ann_info['use_different_joint_weights'] = False
+
+        self.db = self._get_db()
+
+        print(f'=> num_images: {self.num_images}')
+        print(f'=> load {len(self.db)} samples')
diff --git a/model-index.yml b/model-index.yml
index 1214ea4ce7..4fa7aaf012 100644
--- a/model-index.yml
+++ b/model-index.yml
@@ -127,3 +127,4 @@ Import:
 - configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.yml
 - configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/hrnet_dark_coco-wholebody.yml
 - configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/resnet_coco-wholebody.yml
+- configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/halpe/hrnet_dark_halpe.yml
diff --git a/tests/data/halpe/test_halpe.json b/tests/data/halpe/test_halpe.json
new file mode 100644
index 0000000000..85b9e9d607
--- /dev/null
+++ b/tests/data/halpe/test_halpe.json
@@ -0,0 +1,5991 @@
+{
+    "categories": [
+        {
+            "supercategory": "person",
+            "id": 1,
+            "name": "person",
+            "keypoints": [],
+            "skeleton": []
+        }
+    ],
+    "images": [
+        {
+            "license": 4,
+            "file_name": "000000000785.jpg",
+            "coco_url": "http://images.cocodataset.org/val2017/000000000785.jpg",
+            "height": 425,
+            "width": 640,
+            "date_captured": "2013-11-19 21:22:42",
+            "flickr_url": "http://farm8.staticflickr.com/7015/6795644157_f019453ae7_z.jpg",
+            "id": 785
+        },
+        {
+            "license": 3,
+            "file_name": "000000040083.jpg",
+            "coco_url": "http://images.cocodataset.org/val2017/000000040083.jpg",
+            "height": 333,
+            "width": 500,
+            "date_captured": "2013-11-18 03:30:24",
+            "flickr_url": "http://farm1.staticflickr.com/116/254881838_e21c6d17b8_z.jpg",
+            "id": 40083
+        },
+        {
+            "license": 1,
+            "file_name": "000000196141.jpg",
+            "coco_url": "http://images.cocodataset.org/val2017/000000196141.jpg",
+            "height": 429,
+            "width": 640,
+            "date_captured": "2013-11-22 22:37:15",
+            "flickr_url": "http://farm4.staticflickr.com/3310/3611902235_57d4ae496d_z.jpg",
+            "id": 196141
+        },
+        {
+            "license": 3,
+            "file_name": "000000197388.jpg",
+            "coco_url": "http://images.cocodataset.org/val2017/000000197388.jpg",
+            "height": 392,
+            "width": 640,
+            "date_captured": "2013-11-19 20:10:37",
+            "flickr_url": "http://farm9.staticflickr.com/8375/8507321836_5b8b13188f_z.jpg",
+            "id": 197388
+        }
+    ],
+    "annotations": [
+        {
+            "num_keypoints": 17,
+            "area": 27789.11055,
+            "iscrowd": 0,
+            "keypoints": [
+                367,
+                81,
+                2,
+                374,
+                73,
+                2,
+                360,
+                75,
+                2,
+                386,
+                78,
+                2,
+                356,
+                81,
+                2,
+                399,
+                108,
+                2,
+                358,
+                129,
+                2,
+                433,
+                142,
+                2,
+                341,
+                159,
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+}
\ No newline at end of file
diff --git a/tests/test_datasets/test_top_down_dataset.py b/tests/test_datasets/test_top_down_dataset.py
index 52cfb55f5f..fac949e3f9 100644
--- a/tests/test_datasets/test_top_down_dataset.py
+++ b/tests/test_datasets/test_top_down_dataset.py
@@ -399,6 +399,83 @@ def test_top_down_COCO_wholebody_dataset():
             _ = custom_dataset.evaluate(outputs, tmpdir, 'PCK')
 
 
+def test_top_down_halpe_dataset():
+    dataset = 'TopDownHalpeDataset'
+    dataset_info = Config.fromfile(
+        'configs/_base_/datasets/halpe.py').dataset_info
+    # test Halpe datasets
+    dataset_class = DATASETS.get(dataset)
+    dataset_class.load_annotations = MagicMock()
+    dataset_class.coco = MagicMock()
+
+    channel_cfg = dict(
+        num_output_channels=136,
+        dataset_joints=136,
+        dataset_channel=[
+            list(range(136)),
+        ],
+        inference_channel=list(range(136)))
+
+    data_cfg = dict(
+        image_size=[192, 256],
+        heatmap_size=[48, 64],
+        num_output_channels=channel_cfg['num_output_channels'],
+        num_joints=channel_cfg['dataset_joints'],
+        dataset_channel=channel_cfg['dataset_channel'],
+        inference_channel=channel_cfg['inference_channel'],
+        soft_nms=False,
+        nms_thr=1.0,
+        oks_thr=0.9,
+        vis_thr=0.2,
+        use_gt_bbox=True,
+        det_bbox_thr=0.0,
+        bbox_file='tests/data/coco/test_coco_det_AP_H_56.json',
+    )
+    # Test det bbox
+    data_cfg_copy = copy.deepcopy(data_cfg)
+    data_cfg_copy['use_gt_bbox'] = False
+    _ = dataset_class(
+        ann_file='tests/data/halpe/test_halpe.json',
+        img_prefix='tests/data/coco/',
+        data_cfg=data_cfg_copy,
+        pipeline=[],
+        dataset_info=dataset_info,
+        test_mode=True)
+
+    _ = dataset_class(
+        ann_file='tests/data/halpe/test_halpe.json',
+        img_prefix='tests/data/coco/',
+        data_cfg=data_cfg_copy,
+        pipeline=[],
+        dataset_info=dataset_info,
+        test_mode=False)
+
+    # Test gt bbox
+    custom_dataset = dataset_class(
+        ann_file='tests/data/halpe/test_halpe.json',
+        img_prefix='tests/data/coco/',
+        data_cfg=data_cfg,
+        pipeline=[],
+        dataset_info=dataset_info,
+        test_mode=True)
+
+    assert custom_dataset.test_mode is True
+    assert custom_dataset.dataset_name == 'halpe'
+
+    image_id = 785
+    assert image_id in custom_dataset.img_ids
+    assert len(custom_dataset.img_ids) == 4
+    _ = custom_dataset[0]
+
+    outputs = convert_db_to_output(custom_dataset.db)
+    with tempfile.TemporaryDirectory() as tmpdir:
+        infos = custom_dataset.evaluate(outputs, tmpdir, 'mAP')
+        assert_almost_equal(infos['AP'], 1.0)
+
+        with pytest.raises(KeyError):
+            _ = custom_dataset.evaluate(outputs, tmpdir, 'PCK')
+
+
 def test_top_down_OCHuman_dataset():
     dataset = 'TopDownOCHumanDataset'
     dataset_info = Config.fromfile(