Semantic image segmentation for training ML models to detect forms and body parts, accessories, tattoos and clothes. This dataset is perfect for setting atomisation for recommendation systems in online marketplaces and other e-Commerce projects.
Semantic segmentation of both body parts and underwear for women
Labeled: Face and hair, Body above the waist and up to the forearms, Forearms, Hands, Legs, Tattoos, Smartphones
Women II
2468 pairs of “image - segmentation mask”
Detailed labelling of women in underwear. Special attention is paid to the labelling of the inner, outer and lower part of the breast in relation to the bra.
Labeled: Face and hair, Swimsuit or underwear, Arms and body (above the waist), Legs, Jewelry, glasses and smartphones are highlighted in background color
Women IV
379 pairs of “image - segmentation mask”
Semantic segmentation of women in underwear with additional marking of the side press area.
Labelled area: Face and hair, Arms and neck, Forearms, Hips, Underwear, Stomach, Underwear top, Underwear bottom, Accessories and smartphones, additionally, the press area is labeled on top
Men I
28 pairs of “image - segmentation mask”
Detailed labelling of the body and clothing of men above the waist
Labeled area: Face and hair, Neck, Forearms and hands, Shoulders, Nipple area, Navel, Underwear, Tattoos, Smartphones and jewelry
Men II
309 pairs of “image - segmentation mask”
Semantic segmentation of men's body above the waist
Labeled area: Face and hair, Neck, Forearms and hands, Shoulders, Body from shoulders to waist, Smartphones
Men Neuro
1420 pairs of “image - segmentation mask”
Labelling created by the neural network for subsequent correction by the markup
Images are pre-labelled via neural network: Face and hair, Neck, Forearms and hands, Shoulders, Nipple area, Navel, Underwear, Tattoos, Smartphones and jewelry