SilvioGiancola/TrackingNet-devkit

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

The official VOT Challenge evaluation and analysis toolkit

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

[ICLR 25, TPAMI 26, CVPR 26] Track-On: Online Point Tracking with Memory

Tracking Any Point (TAP)

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Resources for Multiple Object Tracking (MOT)

Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

Data and Codes for Our Paper "PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions"