-
VisDrone-SOT2019
The VisDrone-SOT2019 dataset is a large-scale drone benchmark for single object tracking. -
VisDrone2018
The image object detection track on VisDrone2018 provides a dataset of 10,209 images, with 10 categories of pedestrians, vehicles, and other traffic objects annotated. -
MOT17 and MOT20
Object permanence is the concept that objects in a physical world continue to exist despite the observers inability to sense them. This can result in temporally unstable... -
BEHAVE: Dataset and method for tracking human object interactions
BEHAVE: Dataset and method for tracking human object interactions. -
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
The unmanned aerial vehicle benchmark: Object detection and tracking. -
CrowdHuman
CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation. -
LSP dataset
LSP dataset: A dataset for human pose estimation and tracking in videos. -
MPII Video Pose dataset
MPII Video Pose dataset: A dataset for human pose estimation and tracking in videos.
