19 datasets found

A large multi-modal benchmark for UAV tracking, containing high-quality and high-definition video sequences of both RGB and IR, each annotated with bounding boxes, attributes,...

The dataset used for litter detection and tracking using deep learning techniques.

The dataset used in this paper for tracking intracellular protein growth dynamics.

Dynamic 3D Gaussians: Tracking by persistent dynamic view synthesis.

RGB-T object tracking: benchmark and baseline

The OTB100 dataset is an extension of the OTB50 dataset, containing 100 videos with 1000 frames each.

The UAV123 dataset is a benchmark for object tracking.

The OTB100 dataset is a benchmark for object tracking.

The OTB50 dataset is a benchmark for object tracking.

The GOT-10K dataset is a large high-diversity benchmark for generic object tracking in the wild.

The eighth visual object tracking VOT2020 challenge results.

CenterPoseTrack is a joint detection and tracking method for category-level 6-DoF pose estimation of previously unseen object instances.

Objectron dataset contains 9 categories of objects with 15k video clips and over 4M frames annotated with 3D object bounding boxes, camera poses, sparse point clouds, and...

The TrackingNet dataset is a benchmark for visual tracking, containing 511 video sequences with varying difficulties.

The TrackFormer dataset is a large-scale object tracking dataset, containing 10K frames and 100 object categories.

The GOT-10K dataset is a large-scale object tracking dataset, containing 10K frames and 100 object categories.

OTB2015 is a pioneering testing set for single object tracking that consists of 100 challenging frames collected from YouTube.

The LaSOT dataset is a large-scale benchmark for visual tracking, containing 1400 video sequences with varying difficulties.

The UAV123 dataset is a benchmark for visual tracking, containing 123 video sequences with varying difficulties.