Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks

3D Instance Segmentation and 22 Landmarks Annotation Dataset

This dataset focuses on high-precision segmentation of the human body, capturing intricate details of limbs, clothing, facial features, skin, and accessories.

This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios.

21299-Images-of-Human-Body-and-Face-Segmentation-Data

This dataset is comprehensive, including instance and semantic segmentation of 27 categories of body parts along with 24 key points annotations, providing detailed data for human body analysis and applications.

This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.