15 datasets found

Visual object tracking, which tracks a specified target in a changing video sequence automatically, is a fundamental problem in many topics such as visual analysis, automatic...

The CDTB dataset is a color and depth visual object tracking dataset used for evaluating the performance of object tracking algorithms.

The OTB-2015 dataset is a benchmark for visual object tracking, containing 1000 videos with 1000 frames each.

The VOT-2018 dataset is a large-scale and challenging dataset for visual object tracking.

The DeepMix dataset is used for visual object tracking. It is a large-scale and challenging dataset for online visual object tracking.

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

The OTB2013 and OTB2015 datasets contain video sequences for visual object tracking.

The VOT2017 and VOT2018 datasets contain video sequences for visual object tracking.

Visual Object Tracking is one of the fundamental tasks in computer vision with applications ranging from human-computer interaction, surveillance, traffic flow monitoring and etc....

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 UAV123 dataset is a benchmark for visual tracking, containing 123 video sequences with varying difficulties.

The VOT2018 dataset contains 60 videos and 100 frames for visual object tracking.

The OTB100 dataset contains 100 videos and 60 frames for visual object tracking.

The authors used four widely used datasets, OTB100, VOT2018, UAV123, and LaSOT, for visual object tracking.