Dataset · Hugging Face

MCG-NJU/SportsMOT

Name: SportsMOT
Creator: MCG-NJU
License: cc-by-nc-4.0
Keywords: task_categories:object-detection, task_categories:other, annotations_creators:crowdsourced, source_datasets:MultiSports, language:en, license:cc-by-nc-4.0, size_categories:n<1K, format:text, modality:text, modality:video, library:datasets, library:mlcroissant, arxiv:2304.05170, region:us, video

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… See the full description on the dataset page: https://huggingface.co/datasets/MCG-NJU/SportsMOT.

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Author / organization	MCG-NJU
License (as declared)	cc-by-nc-4.0
Downloads	2.8K (as reported by Hugging Face)
Likes	6
Created	2 July 2024
Last updated at source	21 July 2024

videomulti-object tracking

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16 Oct 2026 Description: 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 sequence → 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 sequence

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