| --- |
| license: mit |
| task_categories: |
| - image-to-text |
| tags: |
| - hand-pose-estimation |
| - keypoints |
| - bounding-boxes |
| - rtmpose |
| - mmpose |
| - 11k-hands |
| pretty_name: 11k-Hands BBox Keypoint |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # 11k-Hands BBox Keypoint |
|
|
| This dataset contains estimated hand bounding boxes and 21-point hand keypoints for [`ryushinn/11k-Hands`](https://huggingface.co/datasets/ryushinn/11k-Hands). It is an annotations-only sidecar dataset: it does **not** duplicate the source images. |
|
|
| Rows preserve the same split and row order as the source dataset. To pair an annotation row with its image, load the same split from `ryushinn/11k-Hands` and use the same row index. |
|
|
| ## Dataset structure |
|
|
| The dataset has one split: |
|
|
| | Split | Rows | |
| | --- | ---: | |
| | `train` | 11,076 | |
|
|
| Each row has exactly four columns: |
|
|
| | Column | Type / shape | Description | |
| | --- | --- | --- | |
| | `bboxes_xyxy` | `float32[4]` | Highest-confidence detected hand box as `[x1, y1, x2, y2]` in source-image pixel coordinates. | |
| | `bbox_scores` | `float32` | Confidence score for the selected hand bounding box. | |
| | `keypoints_xy` | `float32[21][2]` | Estimated 21-point hand keypoints in source-image pixel coordinates. | |
| | `keypoint_scores` | `float32[21]` | Confidence score for each keypoint. | |
|
|
|
|
| ## Keypoint order |
|
|
| The 21 keypoints follow the COCO-WholeBody hand convention used by MMPose: |
|
|
| | Index | Name | |
| | ---: | --- | |
| | 0 | wrist | |
| | 1 | thumb1 | |
| | 2 | thumb2 | |
| | 3 | thumb3 | |
| | 4 | thumb4 | |
| | 5 | forefinger1 | |
| | 6 | forefinger2 | |
| | 7 | forefinger3 | |
| | 8 | forefinger4 | |
| | 9 | middle_finger1 | |
| | 10 | middle_finger2 | |
| | 11 | middle_finger3 | |
| | 12 | middle_finger4 | |
| | 13 | ring_finger1 | |
| | 14 | ring_finger2 | |
| | 15 | ring_finger3 | |
| | 16 | ring_finger4 | |
| | 17 | pinky_finger1 | |
| | 18 | pinky_finger2 | |
| | 19 | pinky_finger3 | |
| | 20 | pinky_finger4 | |
|
|
| Skeleton edges used for visualization: |
|
|
| ```python |
| [ |
| (0, 1), (1, 2), (2, 3), (3, 4), |
| (0, 5), (5, 6), (6, 7), (7, 8), |
| (0, 9), (9, 10), (10, 11), (11, 12), |
| (0, 13), (13, 14), (14, 15), (15, 16), |
| (0, 17), (17, 18), (18, 19), (19, 20), |
| ] |
| ``` |
|
|
| ## Model configuration |
|
|
| Annotations were generated with OpenMMLab models: |
|
|
| - Hand detector: **RTMDet-Nano hand detector** |
| - Config: `rtmdet_nano_320-8xb32_hand.py` |
| - Checkpoint: `rtmdet_nano_8xb32-300e_hand-267f9c8f.pth` |
| - Hand pose estimator: **RTMPose-M Hand5** |
| - Config: `rtmpose-m_8xb256-210e_hand5-256x256.py` |
| - Checkpoint: `rtmpose-m_simcc-hand5_pt-aic-coco_210e-256x256-74fb594_20230320.pth` |
|
|
| The RTMPose-M Hand5 model is trained on a mixture of hand datasets including COCO-WholeBody-Hand, OneHand10K, FreiHand2D, RHD2D, and Halpe hand annotations. |
|
|
| Reference: Jiang et al., **RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose**, arXiv:2303.07399. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset, concatenate_datasets |
| |
| images = load_dataset("ryushinn/11k-Hands", split="train") |
| ann = load_dataset("ryushinn/11k-Hands-BBox-Keypoint", split="train") |
| |
| ds = concatenate_datasets([images, ann], axis=1) |
| idx = 0 |
| image = ds[idx]["image"] |
| bbox = ds[idx]["bboxes_xyxy"] |
| keypoints_xy = ds[idx]["keypoints_xy"] |
| keypoint_scores = ds[idx]["keypoint_scores"] |
| ``` |
|
|
| ## Visualization previews |
|
|
| The following preview images show source images with the estimated hand bounding box and keypoint skeleton overlayed. |
|
|
| | Row 0 | Row 1 | |
| | --- | --- | |
| |  |  | |
|
|
| | Row 5538 | Row 11075 | |
| | --- | --- | |
| |  |  | |
|
|
| ## Notes |
|
|
| These annotations are model-estimated pseudo-labels, not manual ground-truth annotations. They are intended for research workflows where reproducible hand bounding boxes and hand pose estimates are useful alongside the original `ryushinn/11k-Hands` images. |
|
|
