38 datasets found

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

The Track Anything Rapter (TAR) project utilizes state-of-the-art pre-trained models to accurately detect and track target objects through multimodal queries.

Simple online and realtime tracking with a deep association metric.

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...

A novel high-speed single object tracker that is robust against non-semantic distractor exemplars is introduced; dubbed BOBBY2.

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.

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...