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The Visual Object Tracking VOT2014 Challenge Results
A challenge dataset for visual object tracking. -
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
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,... -
Track Long and Prosper
A benchmark dataset for long duration video sequence. -
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance on recent benchmarks.... -
Real-Time Event-Based Tracking and Detection for Maritime Environments
Maritime vessel detection and tracking dataset -
KITTI 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... -
Shapes and Shapes Rotation
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... -
TrackingNet: A large-scale dataset and benchmark for object tracking in the wild
The authors proposed a large-scale benchmark for object tracking in the wild. -
LaSOT: A high-quality large-scale single object tracking benchmark
The authors proposed a large-scale benchmark for object tracking in the wild. -
Trashbusters: Deep Learning Approach for Litter Detection and Tracking
The dataset used for litter detection and tracking using deep learning techniques. -
BDD100K MOTS
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. -
ProGroTrack: Deep Learning-Assisted Tracking of Intracellular Protein Growth ...
The dataset used in this paper for tracking intracellular protein growth dynamics. -
GBOT Dataset
The GBOT dataset is a synthetic dataset designed for 6D object pose/tracking tasks. -
MOTS Challenge
The MOTS Challenge dataset is a real-world video dataset consisting of pedestrian tracking and segmentation. -
Behave dataset
The Behave dataset contains various scenes with human-object interactions, and is used to evaluate the proposed object-level 3D semantic mapping approach. -
Dynamic 3D Gaussians: Tracking by persistent dynamic view synthesis
Dynamic 3D Gaussians: Tracking by persistent dynamic view synthesis. -
RGB-T object tracking: benchmark and baseline
RGB-T object tracking: benchmark and baseline -
Tao: A large-scale benchmark for tracking any object
Tao: A large-scale benchmark for tracking any object
