144,810 Images Multi-class Fashion Item Detection Data

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144,810 Images Multi-class Fashion Item Detection Data_144,810 Images Multi-class Fashion Item Detection Data

144,810 Images Multi-class Fashion Item Detection Data

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144,810 Images Multi-class Fashion Item Detection Data. In this dataset, 19,968 images of male and 124,842 images of female were included. The Fashion Items were divided into 4 parts based on the season (spring, autumn, summer and winter). In terms of annotation, rectangular bounding boxes were adopted to annotate fashion items. The data can be used for tasks such as fashion items detection, fashion recommendation and other tasks.

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Specifications

Date size: 144,810 images, 724,874 bounding boxes

Gender distribution: 19,968 images of male, 124,842 images of female

Collecting environment: including indoor and outdoor scenes

Data diversity: multiple scenes, different seasons, different races, different fashion items

Data format: the image data format is .jpg , the annotation file format is .json

Annotation content: rectangular bounding boxes of fashion items

Accuracy: The accuracy of rectangular bounding boxes is not less than 95%;The accuracy of labels of bounding boxes is not less than 95%

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144,810 Images Multi-class Fashion Item Detection Data

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144,810 Images Multi-class Fashion Item Detection Data