4 datasets found

MOT16 is a benchmark for multi-object tracking, consisting of 16 video sequences with 1000 frames each.

The KITTI Object Detection Benchmark consists of 7,481 training images and 7,518 testing images, with 3D LiDAR point clouds and camera images.

MOT-Challenge datasets are a benchmark for multi-object tracking.

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...