8 datasets found

KITTI tracking dataset provides 21 training and 29 test sequences. The dataset provides 2D bounding box annotations for cars, pedestrians, and 6 other classes, but only the...

The dataset used in the paper is a collection of sequences with patterns of different shapes and speeds, and a new dataset collected with the Baxter robot in a manipulation task...

The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

The Behave dataset contains various scenes with human-object interactions, and is used to evaluate the proposed object-level 3D semantic mapping approach.

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

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 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...