Try the Model

Use the widget below to experiment with ByteTrack. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

ByteTrack is a multi-object tracking computer vision algorithm. Using ByteTrack, you can allocate IDs for unique objects in a video for use in tracking objects. For example, you can track players on a football field and monitor them throughout a scene.

ByteTrack License

ByteTrack

is licensed under a

MIT

license.

Performance

Deploy a ByteTrack API

You can use Roboflow Inference to deploy a

ByteTrack

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with ByteTrack

You can automatically label a dataset using ByteTrack with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use ByteTrack to train a computer vision model.

No items found.