Awesome

LaGOT

We release the LaGOT evaluation benchmark for both single-object trackers (SOT) and multi-object trackers (MOT) / open-world trackers (OWT).

The LaGOT benchmark is built on top of the LaSOT validation set. We added up to 9 additional tracks per video to the LaSOT validation set annotations.

Download

Additional annotations are located in data/. To obtain pixels, please follow the instructions of the official LaSOT repository.

In addition to the new annotations, we also release the inference results of multiple state-of-the-art SOT and MOT / OWT trackers.

Usage

The scripts for results visualizations are located in scripts/. To use those the pytracking toolbox and/or the TrackEval toolbox is needed.

Citation

If you use LaGOT, please cite our paper:

@InProceedings{Mayer_2024_WACV,
    author    = {Mayer, Christoph and Danelljan, Martin and Yang, Ming-Hsuan and Ferrari, Vittorio and Van Gool, Luc and Kuznetsova, Alina},
    title     = {Beyond SOT: Tracking Multiple Generic Objects at Once},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2024},
    pages     = {6826-6836}
}

Contacts

If you have any questions, please contact lagot-benchmark@googlegroups.com.