A Benchmark and Simulator for UAV Tracking (Dataset) Resources Video captured from low-altitude UAVs is inherently different from video in popular tracking datasets like OTB50, OTB100, VOT2014, VOT2015, TC128, and ALOV300++. Therefore, we propose a new dataset (UAV123) with sequences from an aerial viewpoint, a subset of which is meant for long-term aerial tracking (UAV20L). Our new UAV123 dataset contains a total of 123 video sequences and more than 110K frames making it the second-largest object tracking dataset after ALOV300++. All sequences are fully annotated with upright bounding boxes.
Datasets Resources Memorability scores for all 3,412 objects and 850 images from the PASCAL-S dataset Memorability maps corresponding to each of the 850 PASCAL-S images All original 850 PASCAL-S images and object segmentations used for the experiment For details, kindly refer to the publication titled SAR: Stroke Authorship Recognition.
Dyntex++ Dataset Resources The UCLA dataset has been the benchmark for DT recognition for several years, even though a much larger and more diverse database (the DynTex database) exists.
SAR Dataset Resources Two new sketch datasets for Stroke Authorship Recognition collected from experienced artists. For details, kindly refer to the publication titled SAR: Stroke Authorship Recognition.
SoccerNet Resources In this work, we introduce SoccerNet, a benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. A total of 6,637 temporal annotations are automatically parsed from online match reports at a one-minute resolution for three main classes of events (Goal, Yellow/Red Card, and Substitution). As such, the dataset is easily scalable.
