Standard DatasetsHuman Contour Segmentation And Keypoints Dataset
Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.
The "Human Contour Segmentation And Keypoints Dataset" is aimed at the apparel and visual entertainment industries, featuring a collection of internet-collected images with resolutions ranging from 103 x 237 to 329 x 669 pixels. This dataset is focused on contour segmentation and key points annotation, covering comprehensive human body keypoints including facial features, limbs, and extremities, facilitating detailed human posture and movement analysis.
Sample
Specification
Dataset ID
MD-Image-048
Dataset Name
Human Contour Segmentation And Keypoints Dataset
Data Type
ImageVolume
About 14.4k
Data Collection
Internet collected images. The resolution ranges from 103 * 237 to 329 * 669, the width is from 103 to 329, and the height is from 231 to 669.
Annotation
Key Points,Contour Segmentation
Annotation Notes
The key points of human body include nose, left and right shoulders, left and right elbows, left and right wrists, left and right hips, left and right knees, left and right ankles, left and right eyes, left and right ears and top of head.
Application Scenarios
Apparel;Visual Entertainment
Data Collections
This dataset includes approximately 14.4k images, each annotated with key points of the human body such as the nose, shoulders, elbows, wrists, hips, knees, ankles, eyes, ears, and the top of the head. The combination of contour segmentation and key points provides a rich resource for applications requiring precise human body modeling and animation, such as in fashion technology for virtual try-ons and in visual entertainment for character animation and augmented reality experiences.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
This dataset includes 48,825 clothing images annotated with segmentation masks and fine-grained attributes, built upon an expertly crafted ontology that encompasses 27 main apparel categories and 19 apparel parts. It's designed to advance tasks combining both detection and attributes classification in the fashion domain.
DeepFashion2 [Learn more]
A comprehensive fashion dataset containing 491K images of 13 popular clothing categories from both commercial and consumer sources. Each item is meticulously labeled with attributes such as scale, occlusion, viewpoint, category, and style, making it a versatile benchmark for clothing image understanding.
DeepFashion [Learn more]
This dataset boasts around 800K diverse fashion images with rich annotations, including 46 categories, 1,000 descriptive attributes, bounding boxes, and landmark information. The variety ranges from well-posed product images to consumer photos, providing a broad spectrum for fashion image analysis.
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