SportsMOT

Dataset Card for SportsMOT Dataset Details Dataset Description Multi-object tracking (MOT) is a fundamental task in computer vision, aiming to estimate objects (e.g., pedestrians and vehicles) bounding boxes and identities in video sequences. We propose a large-scale multi-object tracking dataset named SportsMOT, consisting of 240 video clips from 3 categories (i.e., basketball, football and volleyball). The objective is to only track players on the… See the full description on the dataset page: https://huggingface.co/datasets/MCG-NJU/SportsMOT.

Papers using SportsMOT (3)

GTA: Global Tracklet Association For Multi-object Tracking In Sports2024 · 5 citesOcclusion-aware SORT: Observing Occlusion For Robust Multi-object Tracking2026Motion-aware Transformer For Multi-object Tracking2025