Datasetpublic

GabrieleGiudici/E-BARD-ObjectClassification

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… See the full description on the dataset page: https://huggingface.co/datasets/GabrieleGiudici/E-BARD-ObjectClassification.

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Dataset Card

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.