GIVEN

Object tracking is one of the most fundamental problems in computer vision, with direct applications in autonomous driving. Accurate tracking in the perception system can lead to more accurate prediction and planning for the future scenes and ego motion in driving systems. Although we have a large amount of video data, the popular multi-object tracking challenges and benchmarks only provide tens of image sequences for training and testing. Therefore, we are hosting large-scale tracking challenges to invite the computer vision researchers and practitioners to study the multi-object tracking problems in a more realistic setup. We hope our challenges can lead to new advances on computer vision and new pragmatic algorithms on self-driving cars. Our challenges based on BDD100K, the largest open driving video dataset, are live! You can find the details on the challenge website.