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HOT-2022 Dataset

The HOT-2022 dataset is a hyperspectral object tracking dataset, which consists of 40 training videos and 35 testing videos. The dataset includes 16 bands and has a resolution of 471x207x16.

Data and Resources

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Cite this as

Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal (2024). Dataset: HOT-2022 Dataset. https://doi.org/10.57702/vtwo7pat

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2311.18199
Author Mohammad Aminul Islam
More Authors
Wangzhi Xing
Jun Zhou
Yongsheng Gao
Kuldip K. Paliwal