| --- |
| pretty_name: FigureSkating Precise Event Spotting |
| license: other |
| task_categories: |
| - video-classification |
| tags: |
| - figure-skating |
| - precise-event-spotting |
| - action-spotting |
| - opensportslib |
| configs: |
| - config_name: fs_comp |
| data_files: |
| - split: train |
| path: metadata/fs_comp/train.parquet |
| - split: validation |
| path: metadata/fs_comp/valid.parquet |
| - split: test |
| path: metadata/fs_comp/test.parquet |
| - config_name: fs_perf |
| data_files: |
| - split: train |
| path: metadata/fs_perf/train.parquet |
| - split: validation |
| path: metadata/fs_perf/valid.parquet |
| - split: test |
| path: metadata/fs_perf/test.parquet |
| --- |
| |
| # FigureSkating precise event spotting |
|
|
| The complete 371-performance benchmark over 11 original competition broadcasts, |
| with both official protocols and four event classes: jump takeoff/landing and |
| flying-spin takeoff/landing. |
|
|
| | Protocol | Train | Validation | Test | |
| |---|---:|---:|---:| |
| | FS-Comp | 178 | 59 | 134 | |
| | FS-Perf | 183 | 94 | 94 | |
|
|
| The protocols partition the same performances differently; media is shared and |
| stored only once. Do not combine their training and evaluation sets. |
|
|
| ## Media and timing |
|
|
| Original 1920x1080, 25-fps source videos are in `media/`. Historical VP9 format |
| 248 is used where available. The two women's World Championship broadcasts |
| from 2017 and 2018 use available H.264 format 137 at the same resolution and |
| frame rate, from the same original YouTube IDs. This encoding difference is |
| recorded; bit-identical RGB with historical VP9 input is not claimed. |
|
|
| Performance clips are represented by exact half-open source-frame intervals, |
| avoiding another video re-encoding. OSL event `position_ms` is absolute on the |
| source video; the loader rebases it through `metadata.intervals` to each logical |
| performance. `reference_frame` retains the native clip-relative event index, |
| and `source_frame` retains the absolute source frame. At 25 fps one frame is |
| exactly 40 ms. Native annotations remain in `annotations/fs_comp/` and |
| `annotations/fs_perf/`. |
|
|
| Each source has verified dimensions, FPS, interval bounds and a SHA-256 hash. |
| This does not constitute a full decode of every hour of source media. Exact |
| preprocessing and the selected decoder remain part of the experiment recipe. |
|
|
| ## OpenSportsLib loading |
|
|
| Use the OpenCV backend for interval-aware localization. Current DALI localization |
| does not support these logical intervals. |
|
|
| ```python |
| from opensportslib.tools import download_dataset_split_from_hf |
| download_dataset_split_from_hf( |
| repo_id="OpenSportsLab/OSL-loc-FigureSkating", revision="main", |
| split="fs_comp_test", output_dir="data/figureskating", |
| download_format="json", |
| ) |
| ``` |
|
|
| JSON manifests reference shared full broadcasts. Metadata-only reads use |
| `annotations_only=True`; selective input downloads are also supported. This |
| dataset uses shared raw media and OSL JSON rather than duplicating source videos |
| into separate per-protocol WebDataset archives. Parquet files index the samples |
| for the two Hugging Face configurations; `sample_payload` contains each OSL row. |
|
|
| ## Sources and citation |
|
|
| - https://github.com/jhong93/spot/tree/main/data/fs_comp |
| - https://github.com/jhong93/spot/tree/main/data/fs_perf |
| - https://github.com/arturxe2/T-DEED/tree/d953b4de8a2ad941c565e1683c5b07255cbe644e/data |
| - https://jhong93.github.io/projects/vpd.html |
|
|
| See `reports/build.json` for the immutable reference commit and source hashes. |
| Research access is manually gated. Source broadcast rights and annotation terms |
| remain with their respective owners; the source code license does not relicense |
| the videos. Cite Hong et al., Video Pose Distillation (ICCV 2021), Hong et al., |
| Spotting Temporally Precise, Fine-Grained Events in Video (ECCV 2022), and |
| Xarles et al., T-DEED (CVPR Workshops 2024). |
|
|
