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--- |
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license: agpl-3.0 |
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language: |
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- en |
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tags: |
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- code |
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--- |
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# Volleyball Video Analytics Dataset |
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## Overview |
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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. |
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[GitHub Link](https://github.com/ryan1288/digdeep/) |
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## Planned Features 📋 |
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- **Auto-Editor:** Automatically remove downtime between plays for faster video review. |
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- **Score Tracking:** Timestamp key moments and keep an accurate score throughout the video. |
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- **Action-Specific Replays:** Replay only the most relevant portions of the video based on specific actions. |
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- **Court Usage Analysis:** Understand where the ball is contacted most often during play. |
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- **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. |
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## Dataset Structure |
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* raw/: Contains unprocessed, full-length videos. |
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* snippets/: Contains short clips, each representing 3 consecutive plays including downtime between plays. |
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* metadata.json: Will contain every snippet and its source, type, date, camera_type, and snippet_index. |
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* train.txt: List of train snippet file names |
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* val.txt: List of validation snippet file names |
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* test.txt: List of test snippet file names |
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### Snippet Metadata |
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Each snippet includes: |
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* Type: Game type (indoor, beach, etc.) |
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* Date: Game date (e.g., YYYYMMDD) |
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* Camera type: Normal or wide-angle |
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* Snippet index: A unique number incremented for each new snippet |
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#### Example File Name |
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`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! |
