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| license: cc-by-4.0 |
| tags: |
| - basketball |
| - classification |
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| **Title:** Basketball-Related Objects Classification Dataset |
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| **Relation to Paper:** Developed as an additional sub-task to demonstrate how the precise detection of basketball-related objects from E-BARD can be leveraged for domain-specific classification, which significantly improved the performance of the fine-tuned EBQwen 3B model. |
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| **Dataset Statistics:** |
| * Consists of 22,210 human-annotated basketball-related entities. |
| * Objects are categorized into predefined classes: basketball, hoop, player, and referee. |
| * Serves as a crucial fine-tuning dataset to help vision-language models achieve high F1-score performance across all specific domain classes. |
