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144,810 Images Multi-class Fashion Item Detection Data

Fashion Item Detection
Multiple scenes
Different seasons
Different races

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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SpecificationsSpecifications
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%
Sample Sample
  • 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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