HomeDatasetsMorrison1025/MOT17
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Morrison1025/MOT17

Object Detection · Morrison1025· 16.5K
other 1.8 GB

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.

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Dataset details

Task
Object Detection
Language
en
License
other
Size
1.8 GB
Rows / images
13.9K
Creator
Morrison1025
Downloads
16.5K
Source
huggingface_datasets
Updated
2026-07-21

About Morrison1025/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.