---
license: cc-by-4.0
tags:
- basketball
- classification
---

**Title:** Basketball-Related Objects Classification Dataset

**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.

**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.