A curated dataset for detecting and tracking referees in professional soccer broadcast footage. This dataset supports the development of models that can distinguish referees from players, staff, and other on-field personnel under varied broadcast conditions.
This public sample consists of 1,450 frames extracted from 10 video clips of professional soccer broadcasts. The data is split into two categories… See the full description on the dataset page:
https://huggingface.co/datasets/infactory-ai/referee-tracking.
