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PA-100K

PA-100K Dataset

PA-100K

PA-100K is a recent-proposed large pedestrian attribute dataset, with 100,000 images in total collected from outdoor surveillance cameras. It is split into 80,000 images for the training set, and 10,000 for the validation set and 10,000 for the test set. This dataset is labeled by 26 binary attributes. The common features existing in both selected dataset is that the images are blurry due to the relatively low resolution and the positive ratio of each binary attribute is low.

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Task
Annotation Types
100000
Items
4
Classes
100000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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