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Data from: DUTS Dataset
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Updated Jan 6, 2024
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EmailClick to copy linkLink copiedCiteLijun Wang; Huchuan Lu; Yifan Wang; Mengyang Feng; Dong Wang; Bao-Cai Yin; Xiang Ruan (2024). DUTS Dataset [Dataset]. https://library.toponeai.link/dataset/dutsDataset updatedJan 6, 2024AuthorsLijun Wang; Huchuan Lu; Yifan Wang; Mengyang Feng; Dong Wang; Bao-Cai Yin; Xiang RuanDescriptionDUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images. All training images are collected from the ImageNet DET training/val sets, while test images are collected from the ImageNet DET test set and the SUN data set. Both the training and test set contain very challenging scenarios for saliency detection. Accurate pixel-level ground truths are manually annotated by 50 subjects.
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FacebookTwitterEmailDUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images. All training images are collected from the ImageNet DET training/val sets, while test images are collected from the ImageNet DET test set and the SUN data set. Both the training and test set contain very challenging scenarios for saliency detection. Accurate pixel-level ground truths are manually annotated by 50 subjects.