Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

fix broken link #39

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix broken link #39

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ While you will need to [sign in](http://groups.csail.mit.edu/vision/datasets/ADE
Every image and its annotations are inside a `folder_name`, that you can find using `index_ade20k.pkl`. Once you are inside the folder name, for a given image `image_name` (e.g. `ADE_train_00016869`) you will find:

1. `image_name.jpg`: containing the raw image, with blurred license plates and faces (e.g. [ADE_train_00016869.jpg](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869.jpg))
2. `image_name_seg.png`: with the pixel-wise annotations of objects and instances (e.g. [ADE_train_00016869_seg.png](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_seg.png)). The RGB channels encode the class and instance information. Check out (`utils/utils_ade20k.py`)[utils/utils_ade20k.py] for an example on how to read those.
2. `image_name_seg.png`: with the pixel-wise annotations of objects and instances (e.g. [ADE_train_00016869_seg.png](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_seg.png)). The RGB channels encode the class and instance information. Check out [`utils/utils_ade20k.py`](utils/utils_ade20k.py) for an example on how to read those.
3. `image_name_parts_{i}.png`: with the annotation of the parts at level `i` (e.g. [ADE_train_00016869_parts_1.png](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_parts_1.png)).
4. `image_name`: a folder with all the instances in that image, stored as pngs encoding a binary amodal mask (showing occluded objects) (e.g. [ADE_train_00016869](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869)).
5. `image_name.json`: a json file containing information about the time the object was annotated, the polygons annotated, annotation of attributes etc. (e.g [ADE_train_00016869.json](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869.json)).
Expand Down