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Fashion Segmentation Dataset – 49,945 Images of Clothing and Accessories
fashion dataset
clothing dataset
apparel dataset
fashion image dataset
fashion segmentation dataset
clothing segmentation dataset
semantic segmentation dataset
apparel accessory dataset
This dataset includes 49,945 fashion images. The gender distribution includes female and male, the race distribution is Asian, Caucasian and black race, the age distribution is teenager, young and middle-aged. The data diversity includes multiple scenes, multiple light conditions, multiple types of costume (upper garment, lower garment, and shoes), and multiple apparel accessories (bag, glasses, accessories, etc.). In terms of annotation, semantic segmentation of 47 categories object (including background, costume and apparel accessory) was adopted. The dataset can be used for tasks such as clothing segmentation, fashion accessory detection, apparel recognition, and AI-powered fashion recommendation systems.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
49,945 images
Population distribution
race distribution: 22,622 images of Asian, 19,343 images of Caucasian and 7,980 images of black race; gender distribution: 22,906 images of male, 27,039 images of female; age distribution: 7,566 images aged from 0 to 18, 38,950 images aged from 19 to 45, 3,429 images over 45 years old
Collecting environment
11,996 images in indoor scenes, 38,026 images in outdoor scenes
Data diversity
including multiple scenes, multiple light conditions, multiple types of costume (upper garment, lower garment, and shoes), and multiple apparel accessories (bag, glasses, accessories, etc.)
Data format
the image data format is .jpg and .png, the annotation file format is .json
Accuracy
the accuracy of labels of race, gender, age group and collecting environment is over 97%; segmentation annotation accuracy is over 97%