Fashion Dataset – 144,810 Images of Clothing for Detection and Recommendation

fashion dataset

fashion image dataset

fashion detection dataset

clothing dataset

apparel dataset

fashion recognition dataset

fashion item detection

This dataset contains 144,810 fashion images, including 19,968 male and 124,842 female. The Fashion Items were categorized by 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 item detection, clothing 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.

Recommended Dataset

15 People - 22 Landmarks Annotation Data of 3D Human Body

15 People - 22 Landmarks Annotation Data of 3D Human Body. The dataset diversity includes multiple scenes, different ages, different costumes, different human body sitting postures. In terms of annotation, we annotate the 2D and 3D coordinates of the 22 landmarks of the human body, landmark attributes, the rectangular frame of the human body. The dataset can be used for tasks such as human body instance segmentation and human behavior recognition.

Multiple scenes Different ages Different costumes Different human body sitting postures

Human Body Segmentation Dataset – 25,080 Images with Alpha Matte Annotations (Basic Version)

This dataset contains 25,080 images for human body segmentation. The data includes indoor scenes and outdoor scenes. The dataset diversity includes multiple scenes, multiple age groups, multiple human body angles, multiple postures. In terms of annotation, alpha matte segmentation annotation was adopted for the human body. The data can be used for tasks such as human matting, background removal, person segmentation, virtual try-on, and pose estimation.

human body segmentation dataset alpha matte human dataset human matting dataset alpha matte segmentation dataset

3,010 Images – Multi-Race Human Body Semantic Segmentation Dataset

This dataset includes 3,010 images of 602 people across multiple races. The semantic segmentation area includes headphones, glasses, body and background.This dataset can be used for training AI models in human body segmentation, video conference behavior detection, and smart vision applications.

human body segmentation dataset semantic segmentation dataset human multi-race human dataset human parsing dataset video conference dataset body part segmentation dataset human behavior recognition dataset annotated human dataset

21,300 Images - Human Body Segmentation Data

21,300 Images - Human Body Segmentation Data. The data includes indoor scenes and outdoor scenes. The data covers female people and male people. The race distribution includes Asian, black race and Caucasian. The age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The dataset diversity includes multiple scenes, ages, races, postures, and appendages. In terms of annotation, we adpoted pixel-wise segmentation annotations on human body. The data can be used for tasks such as human body segmentation.

Multiple scenes Multiple ages Multiple races Multiple postures Multiple appendages

Human Body Segmentation Dataset – 34,981 Images with Alpha Matte Annotations (Fine Version)

This dataset contains 34,981 images for human body segmentation. The data includes indoor scenes and outdoor scenes. The dataset diversity includes multiple scenes, multiple age groups, multiple human body angles, multiple postures. In terms of annotation, alpha matte segmentation annotation was adopted for the human body. The data can be used for tasks such as human matting, background removal, person segmentation, pose estimation, and virtual try-on applications.

alpha matte human dataset human matting dataset human body segmentation dataset alpha matte segmentation dataset

18,860 Images – 3D Human Pose & Landmarks Dataset

This dataset diversity includes multiple scenes, light conditions, ages, shooting angles, and poses. In terms of annotation, we adpoted instance segmentation annotations on human body. 22 landmarks were also annotated for each human body. This dataset is suitable for training and benchmarking AI models in human body analysis, gesture recognition, and multi-person detection.

human body landmarks dataset 3D human pose dataset human instance segmentation annotated human body dataset human pose estimation data human action recognition dataset 22 landmarks human dataset

Fashion Segmentation Dataset – 49,945 Images of Clothing and Accessories

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.

fashion dataset clothing dataset apparel dataset fashion image dataset fashion segmentation dataset clothing segmentation dataset semantic segmentation dataset apparel accessory dataset

50,356 Images with 18 Landmarks - Human Body Segmentation Dataset

This dataset contains 50,356 human images, The data covers diverse scenes, ages, races, poses, and appendages.In terms of annotation, each human body have 18 landmarks, with segmentation for the body and appendages. This dataset can be used for tasks such as human pose estimation, body part segmentation, action recognition.

18 landmark human body dataset full-body pose and segmentation dataset human behavior recognition dataset 50356 human images for AI human body segmentation dataset