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Short Description

/data/datasets/community/deeplearning/imagenet

Image database organized by the WordNet hierarchy http://www.image-net.org/

/data/datasets/community/compvis/LaSOT_categories

Large-scale Single Object Tracking (LaSOT) provides a collection of thousands of sequences with millions of frames across 70 categories. Each sequence is manually annotated http://vision.cs.stonybrook.edu/~lasot/

Benchmark results are given here: GitHub - HengLan/LaSOT_Evaluation_Toolkit: Evaluation of trackers on a large-scale benchmark LaSOT.

/data/datasets/community/compvis/OTB100

Data from the benchmark evaluation of online visual tracking algorithms (see: http://cvlab.hanyang.ac.kr/tracker_benchmark)

Raw zips and resulting images are hosted.

/data/datasets/community/compvis/TrackingNet

Work-in-progress

Additional Help

If you require further assistance on this topic, please don't hesitate to contact the Research Computing Team. To create a support ticket, kindly send an email to rtshelp@asu.edu. For quick inquiries, you're welcome to reach out via our #rc-support Slack Channel or attend our office hours for live assistance

We also offer a series of workshops. More information here: Educational Opportunities and Workshops

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