| --- |
| license: other |
| pretty_name: ASL Keypoint Dataset - 84 Classes |
| task_categories: |
| - video-classification |
| - time-series-classification |
| tags: |
| - asl |
| - sign-language |
| - mediapipe |
| - holistic |
| - keypoints |
| - isolated-sign-recognition |
| --- |
| |
| # ASL Keypoint Dataset - 84 Classes |
|
|
| This dataset contains preprocessed MediaPipe Holistic keypoint sequences for isolated sign language classification. |
|
|
| ## Dataset Version |
|
|
| This version keeps only classes with at least 50 training samples. In your current filtered version, this produced 84 classes. |
|
|
| ## Files |
|
|
| - `train_features_50plus.npy` |
| - `train_labels_50plus.npy` |
| - `val_features_50plus.npy` |
| - `val_labels_50plus.npy` |
| - `id_to_label_50plus.json` |
| - `label_to_id_50plus.json` |
| - `old_to_new_label_ids_50plus.json` |
| - `new_to_old_label_ids_50plus.json` |
| - `class_counts_after_filtering_50plus.csv` |
| - `filter_metadata_50plus.json` |
|
|
| ## Important Note |
|
|
| The label IDs have been remapped after filtering. During inference, use `id_to_label_50plus.json` to convert model output IDs back to sign labels. |
|
|
| ## Metadata |
|
|
| ```json |
| { |
| "hf_repo_id": "SharoonArshad/training_model23", |
| "repo_type": "dataset", |
| "min_samples": 50, |
| "local_repo_path": "/kaggle/working/training_model23_raw", |
| "original_train_samples": 64284, |
| "filtered_train_samples": 6770, |
| "original_val_samples": 8188, |
| "filtered_val_samples": 862, |
| "original_num_classes": 2310, |
| "filtered_num_classes": 84, |
| "train_features_shape": [ |
| 6770, |
| 50, |
| 204 |
| ], |
| "val_features_shape": [ |
| 862, |
| 50, |
| 204 |
| ] |
| } |
| ``` |
|
|
