| --- |
| license: agpl-3.0 |
| language: |
| - en |
| tags: |
| - code |
| --- |
| # Volleyball Video Analytics Dataset |
| ## Overview |
| This dataset is designed to support AI tools for analyzing volleyball games. It contains both raw footage (before processing) and short video snippets with 6 consecutive plays including downtime. |
| [GitHub Link](https://github.com/ryan1288/digdeep/) |
|
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| ## Planned Features 📋 |
| - **Auto-Editor:** Automatically remove downtime between plays for faster video review. |
| - **Score Tracking:** Timestamp key moments and keep an accurate score throughout the video. |
| - **Action-Specific Replays:** Replay only the most relevant portions of the video based on specific actions. |
| - **Court Usage Analysis:** Understand where the ball is contacted most often during play. |
| - **Player-Specific Statistics:** Collect and present performance metrics for individual players. |
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| Our goal is to make video analysis easier for players, coaches, and teams by automating performance review through AI. |
|
|
| ## Dataset Structure |
| * raw/: Contains unprocessed, full-length videos. |
| * snippets/: Contains short clips, each representing 3 consecutive plays including downtime between plays. |
| * metadata.json: Will contain every snippet and its source, type, date, camera_type, and snippet_index. |
| * train.txt: List of train snippet file names |
| * val.txt: List of validation snippet file names |
| * test.txt: List of test snippet file names |
|
|
| ### Snippet Metadata |
| Each snippet includes: |
| * Type: Game type (indoor, beach, etc.) |
| * Date: Game date (e.g., YYYYMMDD) |
| * Camera type: Normal or wide-angle |
| * Snippet index: A unique number incremented for each new snippet |
| #### Example File Name |
| `YouTube_Indoor_20241012_Wide_001.mp4` |
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| We welcome contributions! You can submit volleyball game footage, which would improve the tool performance on your videos! |
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| Thanks to everyone contributing videos and labels, and to the volleyball and AI communities for their support! |
