28 datasets found

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.

MOT-Challenge datasets are a benchmark for multi-object tracking.

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

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...