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Title: Basketball Jersey Number Recognition (JNR) Dataset (Aggregated Base & Pose-Enhanced)

Relation to Paper: Developed as a key contribution of the E-BARD paper to support tasks like player tracking and identification. This repository aggregates both the standard JNR dataset and the pose-enhanced version designed to improve number readability through upper-body cropping.

Dataset Statistics:

  • Base Dataset: * Contains 3,633 manually labelled frame stubs of detected players tracked with ByteTrack.
    • Each stub is a sequence of 16 consecutive frames.
    • Covers 57 distinct jersey numbers out of 101 possible classes, with 300 stubs annotated as "NaN" where the number was not visible.
  • Pose-Enhanced Dataset: * Generated using MediaPipe to extract upper-body anatomical landmarks (shoulders and hips) for tighter torso cropping.
    • Strictly filtered to 983 stubs where all 16 frames were fully preserved to guarantee temporal context and legibility.
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Models trained or fine-tuned on GabrieleGiudici/E-BARD-JerseyNumberRecognition