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/Drunk-guardian/MOT17.
