17 datasets found

A benchmark dataset for long duration video sequence.

Maritime vessel detection and tracking dataset

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 for the MOT20 challenge, which consists of 8 different sequences depicting very crowded challenging scenes.

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 authors proposed a large-scale benchmark for object tracking in the wild.

The authors proposed a large-scale benchmark for object tracking in the wild.

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 GBOT dataset is a synthetic dataset designed for 6D object pose/tracking tasks.

The MOTS Challenge dataset is a real-world video dataset consisting of pedestrian tracking and segmentation.

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

Tao: A large-scale benchmark for tracking any object

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

The LaSOT dataset is a large-scale benchmark for visual tracking, containing 1400 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...