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September 4, 2020 17:41
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October 12, 2022 14:36
September 4, 2020 17:41
March 1, 2021 09:07
July 28, 2020 21:08
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March 26, 2021 16:12

Test Image 4

Official MOTChallenge Evaluation Kit

This repository contains the evaluation scripts for all challenges, available at www.MOTChallenge.net. This devkit replaces the previous version that used to be accessible over https://bitbucket.org/amilan/motchallenge-devkit and is no longer maintained.

- IMPORTANT!
- The MOT evaluation code is not any longer maintained. 

Please visit the new official python evaluation code.

Requirements

  • Python (3.6.9 or newer)
  • MATLAB (tested with R2020a, other versions should work too)

Directories

All evaluation scripts assume the following directory structure:

./res

This directory contains the tracking results (for each sequence); result files should be placed to subfolders

./seqmaps

Sequence lists for all supported different benchmarks

./data

This directory contains the ground truth data (for several different sequences/challenges)

./vid

This directory is for the visualization of results or annotations

Evaluation Scripts

This repo provides the evaluation scripts for the following challenges of www.motchallenge.net:

MOT - Multi-Object Tracking - MOT15, MOT16, MOT17, MOT20

- IMPORTANT!
- The MOT evaluation code is not any longer maintained. 

Please visit the new official python evaluation code.

MOT Evaluation

Challenge Name Data url
2D MOT 15 https://motchallenge.net/data/2D_MOT_2015/
MOT 16 https://motchallenge.net/data/MOT16/
MOT 17 https://motchallenge.net/data/MOT17/
MOT 20 https://motchallenge.net/data/MOT20/

DET - Multi-Object Detection - MOT16Det, MOT20Det

DET Evaluation

Challenge Name Data url
MOT17Det https://motchallenge.net/data/MOT17Det/
MOT20Det https://motchallenge.net/data/MOT20Det/

MOTS - Multi-Object Tracking and Segmentation - MOTS20

MOTS Evaluation

Challenge Name Data url
MOTS https://motchallenge.net/data/MOTS/

3D-ZeF20

ZF3D Evaluation

Challenge Name Data url
3D-ZeF20 https://motchallenge.net/data/3D-ZeF20/

TAO - Tracking Any Object Challenge

TAO Evaluation

Challenge Name Data url
TAO https://github.com/TAO-Dataset/tao

Feedback and contact

We are constantly working on improving our benchmark to provide the best performance to the community. You can help us to make the benchmark better to open issues in the repo and report bugs to the author:

Patrick Dendorfer - patrick.dendorfer@tum.de

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