mradermacher/EBQwen2.5-VL-3B-GGUF
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Title: Basketball, Hoops, Players and Referees Detection Dataset
Relation to Paper: This dataset is introduced in E-BARD: A Multi-Task Extension of the Basketball Action Recognition Dataset for Player Detection, Team Attribution and Jersey Number Recognition. It addresses the original BARD dataset's lack of granular annotations required to develop multi-stage computer vision pipelines.
Dataset Statistics:
- Extracted from 60 full-game recordings from the 2024-2025 NBA season, covering all 30 teams.
- Contains 1,800 frames, systematically sampled at 30 frames per game.
- Includes 22,210 manual, object-level annotations to ensure high quality and consistency.
- Class Distribution: 15,296 Players, 3,853 Referees, 1,565 Hoops, and 1,496 Basketballs.
- Downloads last month
- 13
Size of downloaded dataset files:
663 MB
Size of the auto-converted Parquet files:
701 MB
Number of rows:
8,666