
Links
Simple introduction
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Clothing Attributes Dataset: cloth style(7 categories), ensurely used. accuracy (about 55%)
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PETA Dataset: low-resolution, multi-class(age 4 categories), download. accuracy(16,31,46,>61: 83.8, 78.8,76.4,89.0),19,000 images, about 0.82
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Database of Human Attributes (HAT): high-resolution, age(multi-classes), having sent email
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RAP Dataset: not high-resolution, 3-multi-classes(age 3 categories), waiting to send email.
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PA-100K Dataset: binary
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WIDER Attribute Dataset: multi-people
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Parse27k Dataset: squence, oritation(multi-class), not so much related
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CRP Dataset: squence, not human centre
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Berkeley-Attributes of People: binary
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Deepfashion dataset: cloth related, 289,222 - 50 classes cloth categories: 82%




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