| --- |
| license: mit |
| task_categories: |
| - video-classification |
| tags: |
| - thermal |
| - action-recognition |
| - human-action-recognition |
| pretty_name: ota |
| size_categories: |
| - 1K<n<10K |
| --- |
| # OpenThermalAction: An Open-Source Dataset of Thermal Human Action Videos with Frame-Level Skeleton Annotations |
|
|
| The dataset comprises 2,488 thermal videos collected from 55 subjects performing 28 action classes, including both single-person sports activities and multi-person daily interactions. |
|
|
| <img src="session_12.jpg" width="800" height="600"> |
|
|
|
|
| ## Structure |
|
|
| ``` |
| ├── train/ |
| │ ├── session_1/ # Session 1: Single-person activities |
| │ │ ├── sub_1/ |
| │ │ │ └── thermal/ |
| │ │ │ ├── 1_1_0/ # Action clips as image folders |
| │ │ │ ├── 1_2_0/ |
| │ │ │ └── ... |
| │ │ ├── sub_2/ |
| │ │ └── ... |
| │ └── session_2/ # Session 2: Two-person interactions |
| │ ├── exp_1/ |
| │ │ └── thermal/ |
| │ │ ├── 1/ |
| │ │ ├── 2/ |
| │ │ └── ... |
| │ └── ... |
| ├── val/ |
| │ ├── session_1/ |
| │ └── session_2/ |
| ├── test/ |
| │ ├── test_s1/ # Session 1: Single-person activities |
| │ │ ├── sub_4/ |
| │ │ │ └── thermal/ |
| │ │ │ ├── 1_1/ # Action clips as image folders |
| │ │ │ ├── 1_2/ |
| │ │ │ └── ... |
| │ │ ├── sub_7/ |
| │ │ ├── sub_14/ |
| │ │ └── ... |
| │ └── test_s2/ # Session 2: Two-person interactions |
| │ ├── exp_7/ |
| │ │ └── thermal/ |
| │ │ ├── 1/ |
| │ │ ├── 2/ |
| │ │ └── ... |
| │ └── ... |
| ├── test_wild/ |
| │ ├── test_s1/ # Session 1: Single-person activities |
| │ │ ├── sub_1/ |
| │ │ │ └── thermal/ |
| │ │ │ ├── 1_1/ # Action clips as image folders |
| │ │ │ ├── 1_2/ |
| │ │ │ └── ... |
| │ │ ├── sub_2/ |
| │ │ ├── sub_3/ |
| │ │ └── ... |
| │ └── test_s2/ # Session 2: Two-person interactions |
| │ ├── exp_1/ |
| │ │ └── thermal/ |
| │ │ ├── 1/ |
| │ │ ├── 2/ |
| │ │ └── ... |
| │ └── ... |
| ├── pyskl_annotations |
| ├── annotations_train.txt |
| ├── annotations_val.txt |
| ├── annotations_test.txt |
| └── annotations_wild_test.txt |
| ``` |
|
|
| ## Archived Files |
|
|
| For easier download, each subject/experiment is archived separately: |
|
|
| **Session 1 (Single-Person Actions):** |
| - `sub_1.tar.gz` |
| - `sub_2.tar.gz` |
| - `sub_3.tar.gz` |
| - ... (one archive per subject) |
|
|
| **Session 2 (Multi-Person Actions):** |
| - `exp_1.tar.gz` |
| - `exp_2.tar.gz` |
| - ... (one archive per experiment) |
|
|
| ## Annotation Format |
|
|
| Each line in `annotations_train.txt`, `annotations_val.txt`, and `annotations_test.txt` contains: |
| ``` |
| path_to_sequence action_class |
| ``` |
| Example: |
| ``` |
| test_s1/sub_4/thermal/1_1 0 |
| ``` |
|
|
| action_class (0-14): Sports activities |
| |
| action_class (15-27): Daily activities |
|
|
| ## Skeleton Annotations in the PYSKL-format |
| The dataset was annotated with bounding boxes and 17-keypoints in the COCO format. We arranged skeletons in the PYSKL format to train using the [PYSKL](https://github.com/kennymckormick/pyskl/blob/main/configs/rgbpose_conv3d/README.md) library. |
|
|
| <img src="data_annotation.jpg" width="800" height="600"> |
|
|
| **Structure** |
|
|
| ``` |
| pyskl_annotations/ |
| ├── pyskl_ota.pkl (full dataset) |
| ├── pyskl_ota_75.pkl (75% of frames) |
| ├── pyskl_ota_50.pkl (50% of frames) |
| ├── pyskl_ota_25.pkl (25% of frames) |
| ├── pyskl_ota_session1.pkl (full dataset, session 1 only) |
| ├── pyskl_ota_session2.pkl (full dataset, session 2 only) |
| ├── pyskl_ota_75_session1.pkl (75% frames, session 1) |
| ├── pyskl_ota_75_session2.pkl (75% frames, session 2) |
| ├── pyskl_ota_50_session1.pkl (50% frames, session 1) |
| ├── pyskl_ota_50_session2.pkl (50% frames, session 2) |
| ├── pyskl_ota_25_session1.pkl (25% frames, session 1) |
| ├── pyskl_ota_25_session2.pkl (25% frames, session 2) |
| ├── ... |
| ``` |
|
|
| **Full Dataset** |
| - pyskl_ota.pkl: Full dataset with all frames (train/val from Balcony, test from Office) |
| - pyskl_ota_session1.pkl: Full dataset, session 1 only (train/val: session_1, test: test_s1) |
| - pyskl_ota_session2.pkl: Full dataset, session 2 only (train/val: session_2, test: test_s2) |
| |
| **Frame-Reduced (75%)** |
| - **pyskl_ota_75.pkl**: Frame-reduced to first 75% of frames |
| - **pyskl_ota_75_session1.pkl**: 75% frames, session 1 only |
| - **pyskl_ota_75_session2.pkl**: 75% frames, session 2 only |
| |
| **Frame-Reduced (50%)** |
| - pyskl_ota_50.pkl: Frame-reduced to first 50% of frames |
| - pyskl_ota_50_session1.pkl: 50% frames, session 1 only |
| - pyskl_ota_50_session2.pkl: 50% frames, session 2 only |
| |
| **Frame-Reduced (25%)** |
| - pyskl_ota_25.pkl: Frame-reduced to first 25% of frames |
| - pyskl_ota_25_session1.pkl: 25% frames, session 1 only |
| - pyskl_ota_25_session2.pkl: 25% frames, session 2 only |
| |
| ## Github link: https://github.com/IS2AI/OpenThermalAction |
| ## Models link: https://huggingface.co/issai/thermal-skeleton-models |
| |
