Dataset · Hugging Face

ling1016/MOT17

Name: MOT17
Creator: ling1016
License: other
Keywords: task_categories:object-detection, language:en, license:other, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:video, library:datasets, library:mlcroissant, arxiv:2010.07548, region:us, computer-vision, video, multi-object-tracking, pedestrian-tracking

MOT17 MOT17 is a benchmark dataset for single-camera multi-object tracking (MOT), focused primarily on pedestrian tracking in real-world video sequences. This Hugging Face repository provides the MOT17 data in the original MOTChallenge-style structure for research, benchmarking, training, and evaluation of multi-object tracking systems. MOT17 extends MOT16 with more accurate ground-truth annotations and provides each sequence with three public detection sets: DPM Faster R-CNN /… See the full description on the dataset page: https://huggingface.co/datasets/ling1016/MOT17.

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Author / organization	ling1016
License (as declared)	other
Downloads	1K (as reported by Hugging Face)
Likes	0
Created	20 July 2026
Last updated at source	20 July 2026

computer-visionvideomulti-object-trackingpedestrian-trackingobject-detectionmotchallengemot17trackingdatasets

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