Dataset · Hugging Face

Lekim89/MOT20

Name: MOT20
Creator: Lekim89
License: cc-by-nc-sa-3.0
Keywords: task_categories:object-detection, task_categories:image-classification, language:en, license:cc-by-nc-sa-3.0, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:video, library:datasets, library:mlcroissant, arxiv:2003.09003, region:us, computer-vision, video, multi-object-tracking

MOT20 MOT20 is a benchmark dataset for single-camera multi-object tracking (MOT) and pedestrian detection in very crowded real-world scenes. This Hugging Face repository provides MOT20 in the original MOTChallenge-style structure for research, benchmarking, training, and evaluation of multi-object tracking systems. MOT20 was introduced to stress-test MOT methods in high-density pedestrian scenes, including crowded squares, indoor train stations, stadium exits, and pedestrian… See the full description on the dataset page: https://huggingface.co/datasets/Lekim89/MOT20.

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Author / organization	Lekim89
License (as declared)	cc-by-nc-sa-3.0
Downloads	4.6K (as reported by Hugging Face)
Likes	1
Created	27 May 2026
Last updated at source	30 May 2026

computer-visionvideomulti-object-trackingpedestrian-trackingobject-detectionmotchallengemot20trackingcrowded-scenessurveillancedatasets

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