tribev2

TRIBE v2 is a research benchmark from Meta AI for evaluating video understanding models, specifically how well AI can track multiple objects across video frames. If you're doing computer vision research on multi-object tracking, this provides training code, evaluation tools, and pretrained models.

Jupyter Notebook-based, CC BY-NC 4.0 license (non-commercial use only). The benchmark includes datasets and evaluation protocols that let you compare your tracking model against established baselines.

The catch: non-commercial license means you cannot use this in a product. It's for research evaluation only. Requires significant GPU resources to run the training and evaluation pipelines. And as an academic benchmark, it's designed for researchers who already understand multi-object tracking. Not a tool for building applications.