From 20dc094dc6a7d64f6bac0c68fa84374a126dd84b Mon Sep 17 00:00:00 2001 From: Ethan Bunce Date: Fri, 18 Oct 2024 13:41:13 +0000 Subject: [PATCH 1/7] Adding sagemaker ground truth labeling module --- .../sagemaker-ground-truth-labeling/README.md | 40 + ...mage_bounding_box_labeling_categories.json | 1 + .../image_bounding_box_labeling_template.html | 28 + ..._bounding_box_verification_categories.json | 1 + ..._bounding_box_verification_template.liquid | 39 + .../sagemaker-ground-truth-labeling.yaml | 34 + ...image_multi_label_labeling_categories.json | 1 + .../image_multi_label_labeling_template.html | 21 + .../sagemaker-ground-truth-labeling.yaml | 21 + ...ntic_segmentation_labeling_categories.json | 1 + ...mantic_segmentation_labeling_template.html | 22 + ..._segmentation_verification_categories.json | 1 + ..._segmentation_verification_template.liquid | 44 + .../sagemaker-ground-truth-labeling.yaml | 34 + ...mage_single_label_labeling_categories.json | 1 + 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+++++++++++++++++ .../labeling_step_function/lambda/_utils.py | 100 ++ .../lambda/poll_sqs_queue.py | 132 ++ .../lambda/return_messages_to_sqs_queue.py | 69 ++ .../lambda/run_labeling_job.py | 97 ++ .../lambda/run_verification_job.py | 155 +++ .../lambda/update_feature_store.py | 242 ++++ .../lambda/txt_file_s3_to_sqs_relay.py | 32 + .../pyproject.toml | 45 + .../requirements.txt | 3 + .../settings.py | 101 ++ .../sagemaker-ground-truth-labeling/stack.py | 504 ++++++++ .../task_type_config.py | 234 ++++ .../tests/__init__.py | 0 .../tests/test_app.py | 94 ++ .../tests/test_stack.py | 113 ++ 50 files changed, 3707 insertions(+) create mode 100644 examples/sagemaker-ground-truth-labeling/README.md create mode 100644 examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_categories.json create mode 100644 examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_template.html create mode 100644 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modules/sagemaker/sagemaker-ground-truth-labeling/lambda/txt_file_s3_to_sqs_relay.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/pyproject.toml create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/requirements.txt create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/settings.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/stack.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/task_type_config.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/tests/__init__.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/tests/test_app.py create mode 100644 modules/sagemaker/sagemaker-ground-truth-labeling/tests/test_stack.py diff --git a/examples/sagemaker-ground-truth-labeling/README.md b/examples/sagemaker-ground-truth-labeling/README.md new file mode 100644 index 00000000..6d6371d4 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/README.md @@ -0,0 +1,40 @@ +# SageMaker Ground truth labeling examples + +### Description + +This folder contains examples for each of the built-in task types for the sagemaker ground truth module. Each folder contains an example manifest as well as any necessary templates. Please upload the templates to an S3 bucket and update the manifest with the correct location. + +### Additional workers + +For tasks without a verification step (all except `image_bounding_box` and `image_semantic_segmentation`) we recommend increasing the number of human reviewers per object to increase accuracy. This will only work if you have at least that many reviewers in your workteam, as the same reviewer cannot review the same item twice. To adjust the number of workers add the additional parameters below to your manifest: + +```yaml + - name: labeling-human-task-config + value: + NumberOfHumanWorkersPerDataObject: 5 + TaskAvailabilityLifetimeInSeconds: 21600 + TaskTimeLimitInSeconds: 300 +``` + +### Using public workforce + +As mentioned in the README you can use a public workforce for your task if you wish (at an additional cost). More information on using a public workforce like Amazon Mechanical Turk is available [here](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management-public.html). Labeling and verification task prices is specified in USD, see [here](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PublicWorkforceTaskPrice.html) for allowed values. [This page](https://aws.amazon.com/sagemaker/groundtruth/pricing/) provides suggested pricing based on task type. To use a public workforce add / adjust the following parameters to your manifest: + +```yaml + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker::394669845002:workteam/public-crowd/default' + - name: labeling-task-price + value: + AmountInUsd: + Dollars: 0 + Cents: 3 + TenthFractionsOfACent: 6 + - name: verification-workteam-arn + value: 'arn:aws:sagemaker::394669845002:workteam/public-crowd/default' + - name: verification-task-price + value: + AmountInUsd: + Dollars: 0 + Cents: 3 + TenthFractionsOfACent: 6 +``` diff --git a/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_categories.json new file mode 100644 index 00000000..87ea07f8 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Plane"}, {"label": "Boat"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_template.html b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_template.html new file mode 100644 index 00000000..2a3e890a --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_labeling_template.html @@ -0,0 +1,28 @@ + + + + +
    +
  1. Inspect the image
    2. +
  2. Determine if the specified label is/are visible in the picture.
    3. +
  3. Outline each instance of the specified label in the image using the provided “Box” tool.
    4. +
+
    +
  • Boxes should fit tight around each object
    • +
  • Do not include parts of the object are overlapping or that cannot be seen, even though you think you can interpolate the whole shape.
    • +
  • Avoid including shadows.
    • +
  • If the target is off screen, draw the box up to the edge of the image.
    • +
+ + + + Outline each instance of the specified label in the image using the provided “Box” tool. + + + + diff --git a/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_categories.json b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_categories.json new file mode 100644 index 00000000..dd879e0d --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_categories.json @@ -0,0 +1 @@ +{"labels":[{"label":"Label(s) correct"},{"label":"Incorrect label - missed object"},{"label":"Incorrect label - bounding box not accurate enough"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_template.liquid b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_template.liquid new file mode 100644 index 00000000..3d529af9 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_bounding_box/image_bounding_box_verification_template.liquid @@ -0,0 +1,39 @@ + + + + +
    +
  1. Read the task carefully and inspect the image.
    2. +
  2. Read the options and review the examples provided to understand more about the labels.
    3. +
  3. Choose the appropriate label that best suits the image.
    4. +
+ + + Choose the appropriate label that best suits the image. + + + + diff --git a/examples/sagemaker-ground-truth-labeling/image_bounding_box/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/image_bounding_box/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..3bb14b25 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_bounding_box/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,34 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'plane-and-boat-bounding-box' + - name: task_type + value: 'image_bounding_box' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///image_bounding_box_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///image_bounding_box_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Bounding boxes: Draw bounding boxes around all planes and boats in the image' + - name: labeling-task-description + value: 'Draw bounding boxes around all planes and boats in the image' + - name: labeling-task-keywords + value: [ 'image', 'object', 'detection' ] + + - name: verification-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: verification-instructions-template-s3-uri + value: 's3:///image_bounding_box_verification_template.liquid' + - name: verification-categories-s3-uri + value: 's3:///image_bounding_box_verification_categories.json' + - name: verification-task-title + value: 'Label verification - Bounding boxes: Review the existing labels on the objects and choose the appropriate option.' + - name: verification-task-description + value: 'Verify that all of the planes and boats in the image are correctly labeled' + - name: verification-task-keywords + value: ['image', 'object', 'detection', 'label verification', 'bounding boxes'] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_categories.json new file mode 100644 index 00000000..87ea07f8 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Plane"}, {"label": "Boat"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_template.html b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_template.html new file mode 100644 index 00000000..32c4cfa5 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/image_multi_label_labeling_template.html @@ -0,0 +1,21 @@ + + + + +

If more than one label applies to the image, select multiple labels.

+

If no labels apply, select None of the above

+ + + +

Read the task carefully and inspect the image.

+

Choose the appropriate label(s) that best suit the image.

+ + + + \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..3738f47c --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_multi_label_classification/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,21 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'vehicle-classification' + - name: task_type + value: 'image_multi_label_classification' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///image_multi_label_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///image_multi_label_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Multi-Classification: Classify all images as containing a plane and/or a boat' + - name: labeling-task-description + value: 'Classify all images as containing a plane and/or a boat, selecting all of the appropriate labels' + - name: labeling-task-keywords + value: [ 'image', 'object', 'multi classification' ] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_categories.json new file mode 100644 index 00000000..87ea07f8 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Plane"}, {"label": "Boat"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_template.html b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_template.html new file mode 100644 index 00000000..fb8ed208 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_labeling_template.html @@ -0,0 +1,22 @@ + + + + +
    +
  1. Read the task carefully and inspect the image.
    2. +
  2. Read the options and review the examples provided to understand more about the labels.
    3. +
  3. Choose the appropriate label that best suits the image.
    4. +
+ + + + Use the tools to label the requested items in the image + + + + diff --git a/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_categories.json b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_categories.json new file mode 100644 index 00000000..eb09eb86 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_categories.json @@ -0,0 +1 @@ +{"labels":[{"label":"Label(s) correct"},{"label":"Incorrect label - missed object"},{"label":"Incorrect label - segmentation not accurate enough"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_template.liquid b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_template.liquid new file mode 100644 index 00000000..8dff9576 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/image_semantic_segmentation_verification_template.liquid @@ -0,0 +1,44 @@ + + + + +
    +
  1. Read the task carefully and inspect the image.
    2. +
  2. Read the options and review the examples provided to understand more about the labels.
    3. +
  3. Choose the appropriate label that best suits the image.
    4. +
+ + + Choose the appropriate label that best suits the image. + + + + \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..c0ef1210 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,34 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'plane-and-boat-sem-seg' + - name: task_type + value: 'image_semantic_segmentation' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///image_semantic_segmentation_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///image_semantic_segmentation_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Semantic segmentation: Fill all planes and boats in the image' + - name: labeling-task-description + value: 'Fill all planes and boats in the image using the appropriate label' + - name: labeling-task-keywords + value: [ 'image', 'object', 'detection' ] + + - name: verification-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: verification-instructions-template-s3-uri + value: 's3:///image_semantic_segmentation_verification_template.liquid' + - name: verification-categories-s3-uri + value: 's3:///image_semantic_segmentation_verification_categories.json' + - name: verification-task-title + value: 'Label verification - Semantic segmentation: Review the existing labels on the objects and choose the appropriate option.' + - name: verification-task-description + value: 'Verify that all of the planes and boats in the image are correctly labeled' + - name: verification-task-keywords + value: ['image', 'object', 'detection', 'label verification', 'semantic segmentation'] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_categories.json new file mode 100644 index 00000000..6f17cf3e --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Plane"}, {"label": "Boat"}, {"label": "Neither"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_template.html b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_template.html new file mode 100644 index 00000000..fd8e707c --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/image_single_label_labeling_template.html @@ -0,0 +1,19 @@ + + + + +

Read the task carefully and inspect the image.

+

Choose the appropriate label that best suits the image.

+ + + + Choose the appropriate label that best suits the image. + + + + \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/image_single_label_classification/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..276e5ed6 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/image_single_label_classification/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,21 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'vehicle-classification' + - name: task_type + value: 'image_single_label_classification' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///image_single_label_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///image_single_label_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Classification: Classify all images as containing a plane or a boat' + - name: labeling-task-description + value: 'Classify all images as containing a plane or a boat using the appropriate label' + - name: labeling-task-keywords + value: [ 'image', 'object', 'classification' ] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/named_entity_recognition/named_entity_recognition_categories.json b/examples/sagemaker-ground-truth-labeling/named_entity_recognition/named_entity_recognition_categories.json new file mode 100644 index 00000000..b03d4dc5 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/named_entity_recognition/named_entity_recognition_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Person"}, {"label": "Organisation"}, {"label": "Time"}, {"label": "Location"}, {"label": "Capital City"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/named_entity_recognition/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/named_entity_recognition/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..d910509c --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/named_entity_recognition/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,19 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'named-entity-recognition' + - name: task_type + value: 'named_entity_recognition' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-categories-s3-uri + value: 's3:///named_entity_recognition_categories.json' + - name: labeling-task-title + value: 'Labeling - Named entity recognition: Indentify all entities in the text' + - name: labeling-task-description + value: 'Evaluate all texts and select the identify the entities from the provided values' + - name: labeling-task-keywords + value: [ 'text', 'named entity recognition', 'detection' ] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..216f0ced --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,21 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'text-multi-classification' + - name: task_type + value: 'text_multi_label_classification' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///text_multi_label_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///text_multi_label_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Multi-Classification: Classify all texts using the labels' + - name: labeling-task-description + value: 'Classify all texts selecting all of the appropriate labels' + - name: labeling-task-keywords + value: [ 'text', 'multi classification', 'sentiment' ] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_categories.json new file mode 100644 index 00000000..413500f9 --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Positive"}, {"label": "Negative"}, {"label": "Neutral"}, {"label": "Review"}, {"label": "Message"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_template.html b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_template.html new file mode 100644 index 00000000..fcd71e7c --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_multi_label_classification/text_multi_label_labeling_template.html @@ -0,0 +1,25 @@ + + + + + {{ task.input.taskObject }} + + + +

Positive sentiment include: joy, excitement, delight

+

Negative sentiment include: anger, sarcasm, anxiety

+

Neutral: neither positive or negative, such as stating a fact

+

When the sentiment is mixed, such as both joy and sadness, use your judgment to choose the stronger emotion.

+ + + + Choose all categories that are expressed by the text. + + + + \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_single_label_classification/sagemaker-ground-truth-labeling.yaml b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/sagemaker-ground-truth-labeling.yaml new file mode 100644 index 00000000..bae5949e --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/sagemaker-ground-truth-labeling.yaml @@ -0,0 +1,21 @@ +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +targetAccount: primary +parameters: + - name: job_name + value: 'sentiment-classification' + - name: task_type + value: 'text_single_label_classification' + + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///text_single_label_labeling_template.html' + - name: labeling-categories-s3-uri + value: 's3:///text_single_label_labeling_categories.json' + - name: labeling-task-title + value: 'Labeling - Classification: Classify all texts as either positive, neutral or negative' + - name: labeling-task-description + value: 'Classify all texts as either positive, neutral or negative' + - name: labeling-task-keywords + value: [ 'text', 'classification', 'sentiment' ] \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_categories.json b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_categories.json new file mode 100644 index 00000000..4b91087f --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_categories.json @@ -0,0 +1 @@ +{"labels": [{"label": "Positive"}, {"label": "Negative"}, {"label": "Neutral"}]} \ No newline at end of file diff --git a/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_template.html b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_template.html new file mode 100644 index 00000000..dbc5c22c --- /dev/null +++ b/examples/sagemaker-ground-truth-labeling/text_single_label_classification/text_single_label_labeling_template.html @@ -0,0 +1,24 @@ + + + + + {{ task.input.taskObject }} + + + +

Positive sentiment include: joy, excitement, delight

+

Negative sentiment include: anger, sarcasm, anxiety

+

Neutral: neither positive or negative, such as stating a fact

+

When the sentiment is mixed, such as both joy and sadness, use your judgment to choose the stronger emotion.

+ + + + Choose the most relevant category that is expressed by the text. + + + + \ No newline at end of file diff --git a/modules/sagemaker/sagemaker-ground-truth-labeling/README.md b/modules/sagemaker/sagemaker-ground-truth-labeling/README.md new file mode 100644 index 00000000..1d9aef67 --- /dev/null +++ b/modules/sagemaker/sagemaker-ground-truth-labeling/README.md @@ -0,0 +1,146 @@ +# SageMaker Ground truth labeling + +## Description + +This module creates a workflow for labeling data using SageMaker ground truth. + +A bucket is created to store the raw data. Data uploaded to the S3 bucket is then sent to a created SQS queue. If a text job type is selected the contents of `.txt` files uploaded to the bucket is sent to the SQS queue, instead of the file location. A step function is created that runs on a schedule, pulling the unlabeled data from the SQS queue. The function then runs a labeling job, followed by a verification job (only on supported job types, see below) to increase the accuracy of the labeling. Labeled items that fail validation are returned to the SQS queue for relabelling. New labels are then saved to a created Sagemaker feature group. + +This module assumes that uploaded content will be free of `Personally Identifiable Information (PII)` and `Adult content`. If this is not the case please remove the appropiate content classifiers from the `create_labeling_job` method. + +### Architecture + +![SageMaker Ground Truth Labeling Module Architecture](docs/_static/sagemaker-ground-truth-labeling-module-architecture.png "SageMaker Ground Truth Labeling Module Architecture") + +### Step function example + +![Step function graph](docs/_static/stepfunctions_graph.png "Step function graph") + +#### With verification step + +![Step function graph with verification step](docs/_static/stepfunctions_graph_with_verification_step.png "Step function graph with verification step") + +## Inputs/Outputs + +### Input Parameters + +#### Required + +- `job-name`: Used as prefix for created resources and executions of workflow +- `task-type`: The labeling task type to be carried out (read more [here](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html)). Currently this module supports all built in task types for images and text. +Allowed values are: + - [`image_bounding_box`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-bounding-box.html) + - [`image_semantic_segmentation`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-semantic-segmentation.html) + - [`image_single_label_classification`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-image-classification.html) + - [`image_multi_label_classification`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-image-classification-multilabel.html) + - [`text_single_label_classification`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-text-classification.html) + - [`text_multi_label_classification`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-text-classification-multilabel.html) + - [`named_entity_recognition`](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-named-entity-recg.html) +- `labeling-workteam-arn` - ARN of the workteam to carry out the labeling task, can be public or private + - `labeling-task-price` - Required if public team is to be used +- `labeling-instructions-template-s3-uri` - S3 URI of the labeling template `.html` or `.liquid` file + - Required for all labeling types _except_ `named_entity_recognition` +- `labeling-categories-s3-uri` - S3 URI of the labeling categories `.json` file +- `labeling-task-title` +- `labeling-task-description` +- `labeling-task-keywords` + +For job types supporting verification, currently `image_bounding_box` and `image_semantic_segmentation` further additional fields are required + +- `verification-workteam-arn` - ARN of the workteam to carry out the verification task, can be public or private + - `verification-task-price` - Required if public team is to be used +- `verification-instructions-template-s3-uri` - S3 URI of the verification template `.html` or `.liquid` file +- `verification-categories-s3-uri` - S3 URI of the verification categories `.json` file. The first label must be the label to pass validation, all other labels are validation failures. +- `verification-task-title` +- `verification-task-description` +- `verification-task-keywords` + +For more information and examples of the templates please look at the examples. There are also multiple templates available [here](https://github.com/aws-samples/amazon-sagemaker-ground-truth-task-uis/tree/master). + +Labeling and verification task title, description and keywords are used to create the task config which will be sent to the human carrying out the labeling or verification job. + +More information on using a public workforce like Amazon Mechanical Turk is available [here](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management-public.html). Labeling and verification task prices is specified in USD, see [here](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PublicWorkforceTaskPrice.html) for allowed values. [This page](https://aws.amazon.com/sagemaker/groundtruth/pricing/) provides suggested pricing based on task type. + +#### Optional + +- `labeling-human-task-config`: Additional configuration parameters for labeling job. For tasks without a verification step we recommend increasing the number of human workers per data object, to increase accuracy. Depending on task complexity you might want to increase the task time limit. Default is: + - `NumberOfHumanWorkersPerDataObject`: 1 + - `TaskAvailabilityLifetimeInSeconds`: 21600 (6 hours) + - `TaskTimeLimitInSeconds`: 300 (5 minutes) +- `verification-human-task-config`: Additional configuration parameters for verification job. Default is: + - `NumberOfHumanWorkersPerDataObject`: 1 + - `TaskAvailabilityLifetimeInSeconds`: 21600 (6 hours) + - `TaskTimeLimitInSeconds`: 300 (5 minutes) +- `labeling-workflow-schedule`: CRON schedule for how often the workflow should run. Default is `cron(0 12 * * ? *)` (midday UTC daily), empty string ('') to disable +- `sqs-queue-retention-period`: Upload queue retention period in minutes. Default is 20160 (14 days) +- `sqs-queue-visibility-timeout`: Upload queue visibility timeout in minutes. Default is 720 (12 hours) +- `sqs-queue-max-receive-count`: Default is 3 +- `sqs-dlq-retention-period`: DLQ retention period in minutes, suggest setting to a high value to ensure they are caught and re-driven before deletion. Default is 20160 (14 days) +- `sqs-dlq-visibility-timeout`: DLQ visibility timeout in minutes. Default is 720 (12 hours) +- `sqs-dlq-alarm-threshold` - Number of messages in the DLQ on which to alarm. Default is 1, 0 to disable + +`labeling-workflow-schedule` and the SQS queue parameters should be set to values that ensure the workflow can run at least as many times as the `maxRecieveCount` before the `retentionPeriod` is reached, to avoid messages being deleted upon reaching the `retentionPeriod`, instead of being sent to the DLQ + +### Sample manifest declaration + +```yaml +name: ground-truth-labeling +path: modules/sagemaker/sagemaker-ground-truth-labeling +parameters: + - name: job_name + value: 'plane-identification' + - name: task_type + value: 'image_bounding_box' + - name: labeling-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: labeling-instructions-template-s3-uri + value: 's3:///' + - name: labeling-categories-s3-uri + value: 's3:///' + - name: labeling-task-title + value: 'Labeling - Bounding boxes: Draw bounding boxes around all planes in the image' + - name: labeling-task-description + value: 'Draw bounding boxes around all planes in the image' + - name: labeling-task-keywords + value: [ 'image', 'object', 'detection' ] + - name: verification-workteam-arn + value: 'arn:aws:sagemaker:::workteam/private-crowd/' + - name: verification-instructions-template-s3-uri + value: 's3:///' + - name: verification-categories-s3-uri + value: 's3:///' + - name: verification-task-title + value: 'Label verification - Bounding boxes: Review the existing labels on the objects and choose the appropriate option.' + - name: verification-task-description + value: 'Verify that the planes are correctly labeled' + - name: verification-task-keywords + value: ['image', 'object', 'detection', 'label verification', 'bounding boxes'] +``` + +### Module Metadata Outputs + +- `DataStoreBucketName`: Name of the created S3 bucket where the user will upload the raw data +- `DataStoreBucketArn`: ARN of the created S3 bucket where the user will upload the raw data +- `SqsQueueName`: Name of the created SQS queue +- `SqsQueueArn`: ARN of the created SQS queue +- `SqsDlqName`: Name of the created SQS DLQ +- `SqsDlqArn`: ARN of the created SQS DLQ +- `LabelingStateMachineName`: Name of the labeling state machine +- `LabelingStateMachineArn`: ARN of the labeling state machine +- `FeatureGroupName`: Name of the feature group + +#### Output Example + +```json +{ + "DataStoreBucketName": "aiops-mlops-sagemaker-sagemaker--upload-bucket", + "DataStoreBucketArn": "arn:aws:s3:::aiops-mlops-sagemaker-sagemaker--upload-bucket", + "SqsQueueName": "aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--upload-queue", + "SqsQueueArn": "arn:aws:sqs:::aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--upload-queue", + "SqsDlqName": "aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--upload-dlq", + "SqsDlqArn": "arn:aws:sqs:::aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--upload-dlq", + "LabelingStateMachineName": "aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--state-machine", + "LabelingStateMachineArn": "arn:aws:states:::stateMachine:aiops-mlops-sagemaker-sagemaker-ground-truth-ground-truth--state-machine", + "FeatureGroupName": "aiops-mlops-sagemaker-sagemaker--sagemaker-feature-group" +} +``` diff --git a/modules/sagemaker/sagemaker-ground-truth-labeling/app.py b/modules/sagemaker/sagemaker-ground-truth-labeling/app.py new file mode 100644 index 00000000..c8f59049 --- /dev/null +++ b/modules/sagemaker/sagemaker-ground-truth-labeling/app.py @@ -0,0 +1,71 @@ +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import aws_cdk +import cdk_nag + +from settings import ApplicationSettings +from stack import DeployGroundTruthLabelingStack + +app = aws_cdk.App() +app_settings = ApplicationSettings() + +stack = DeployGroundTruthLabelingStack( + scope=app, + id=app_settings.seedfarmer_settings.app_prefix, + job_name=app_settings.module_settings.job_name, + task_type=app_settings.module_settings.task_type, + sqs_queue_retention_period=app_settings.module_settings.sqs_queue_retention_period, + sqs_queue_visibility_timeout=app_settings.module_settings.sqs_queue_visibility_timeout, + sqs_queue_max_receive_count=app_settings.module_settings.sqs_queue_max_receive_count, + sqs_dlq_retention_period=app_settings.module_settings.sqs_dlq_retention_period, + sqs_dlq_visibility_timeout=app_settings.module_settings.sqs_dlq_visibility_timeout, + sqs_dlq_alarm_threshold=app_settings.module_settings.sqs_dlq_alarm_threshold, + labeling_workteam_arn=app_settings.module_settings.labeling_workteam_arn, + labeling_instructions_template_s3_uri=app_settings.module_settings.labeling_instructions_template_s3_uri, + labeling_categories_s3_uri=app_settings.module_settings.labeling_categories_s3_uri, + labeling_task_title=app_settings.module_settings.labeling_task_title, + labeling_task_description=app_settings.module_settings.labeling_task_description, + labeling_task_keywords=app_settings.module_settings.labeling_task_keywords, + labeling_human_task_config=app_settings.module_settings.labeling_human_task_config, + labeling_task_price=app_settings.module_settings.labeling_task_price, + verification_workteam_arn=app_settings.module_settings.verification_workteam_arn, + verification_instructions_template_s3_uri=app_settings.module_settings.verification_instructions_template_s3_uri, + verification_categories_s3_uri=app_settings.module_settings.verification_categories_s3_uri, + verification_task_title=app_settings.module_settings.verification_task_title, + verification_task_description=app_settings.module_settings.verification_task_description, + verification_task_keywords=app_settings.module_settings.verification_task_keywords, + verification_human_task_config=app_settings.module_settings.verification_human_task_config, + verification_task_price=app_settings.module_settings.verification_task_price, + labeling_workflow_schedule=app_settings.module_settings.labeling_workflow_schedule, + env=aws_cdk.Environment( + account=app_settings.cdk_settings.account, + region=app_settings.cdk_settings.region, + ), +) + +aws_cdk.CfnOutput( + scope=stack, + id="metadata", + value=stack.to_json_string( + { + "DataStoreBucketName": stack.upload_bucket.bucket_name, + "DataStoreBucketArn": stack.upload_bucket.bucket_arn, + "SqsQueueName": stack.upload_queue.queue_name, + "SqsQueueArn": stack.upload_queue.queue_arn, + "SqsDlqName": stack.upload_dlq.queue_name, + "SqsDlqArn": stack.upload_dlq.queue_arn, + "LabelingStateMachineName": stack.labeling_state_machine.state_machine_name, + "LabelingStateMachineArn": stack.labeling_state_machine.state_machine_arn, + "FeatureGroupName": stack.feature_group.feature_group_name, + } + ), +) + +aws_cdk.Aspects.of(app).add(cdk_nag.AwsSolutionsChecks(log_ignores=True)) + +aws_cdk.Tags.of(app).add("SeedFarmerDeploymentName", app_settings.seedfarmer_settings.deployment_name) +aws_cdk.Tags.of(app).add("SeedFarmerModuleName", app_settings.seedfarmer_settings.module_name) +aws_cdk.Tags.of(app).add("SeedFarmerProjectName", app_settings.seedfarmer_settings.project_name) + +app.synth() diff --git a/modules/sagemaker/sagemaker-ground-truth-labeling/constants.py b/modules/sagemaker/sagemaker-ground-truth-labeling/constants.py new file mode 100644 index 00000000..6b30982c --- /dev/null +++ b/modules/sagemaker/sagemaker-ground-truth-labeling/constants.py @@ -0,0 +1,27 @@ +import aws_cdk.aws_lambda as lambda_ + +MAX_BUCKET_NAME_LENGTH = 63 +MAX_SQS_QUEUE_NAME_LENGTH = 80 +MAX_FEATURE_GROUP_NAME_LENGTH = 64 +MAX_ROLE_NAME_LENGTH = 64 +MAX_STATE_MACHINE_NAME_LENGTH = 80 +MAX_LAMBDA_FUNCTION_NAME_LENGTH = 64 + +# map of lambda function Id, you can see the current list here: +# https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AnnotationConsolidationConfig.html#SageMaker-Type-AnnotationConsolidationConfig-AnnotationConsolidationLambdaArn +AC_ARN_MAP = { + "us-east-1": "432418664414", + "us-east-2": "266458841044", + "us-west-2": "081040173940", + "eu-west-1": "568282634449", + "ap-northeast-1": "477331159723", + "ap-southeast-2": "454466003867", + "ap-south-1": "565803892007", + "eu-central-1": "203001061592", + "ap-northeast-2": "845288260483", + "eu-west-2": "487402164563", + "ap-southeast-1": "377565633583", + "ca-central-1": "918755190332", +} + +LAMBDA_RUNTIME = lambda_.Runtime.PYTHON_3_12 diff --git a/modules/sagemaker/sagemaker-ground-truth-labeling/deployspec.yaml b/modules/sagemaker/sagemaker-ground-truth-labeling/deployspec.yaml new file mode 100644 index 00000000..fea2cc1d --- /dev/null +++ b/modules/sagemaker/sagemaker-ground-truth-labeling/deployspec.yaml @@ -0,0 +1,23 @@ +publishGenericEnvVariables: true +deploy: + phases: + install: + commands: + - env + # Install whatever additional build libraries + - npm install -g aws-cdk@2.158.0 + - pip install -r requirements.txt + build: + commands: + - cdk deploy --require-approval never --progress events --app "python app.py" --outputs-file ./cdk-exports.json +destroy: + phases: + install: + commands: + # Install whatever additional build libraries + - npm install -g aws-cdk@2.158.0 + - pip install -r requirements.txt + build: + commands: + # execute the CDK + - cdk destroy --force --app "python app.py" diff --git a/modules/sagemaker/sagemaker-ground-truth-labeling/docs/_static/sagemaker-ground-truth-labeling-module-architecture.xml b/modules/sagemaker/sagemaker-ground-truth-labeling/docs/_static/sagemaker-ground-truth-labeling-module-architecture.xml new file mode 100644 index 00000000..307327da --- /dev/null +++ b/modules/sagemaker/sagemaker-ground-truth-labeling/docs/_static/sagemaker-ground-truth-labeling-module-architecture.xml @@ -0,0 +1 @@ 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