Standard DatasetsHuman And Multi-object Panoptic Segmentation
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 And Multi-object Panoptic Segmentation Dataset" is curated for applications in visual entertainment, featuring a wide array of internet-collected images with resolutions exceeding 1280 x 700 pixels. This comprehensive dataset integrates both instance and semantic segmentation to label a diverse range of elements found in everyday life, including natural scenery, people, buildings, and animals, offering a panoptic view of various scenes and subjects.
Sample
Specification
Dataset ID
MD-Image-070
Dataset Name
Human And Multi-object Panoptic Segmentation
Data Type
ImageVolume
About 8k
Data Collection
Internet collected images. Resolution is over 1280 x 700.
Annotation
Semantic Segmentation,Instance Segmentation
Annotation Notes
This dataset contains most of the accessible natural scenery, people scenes, buildings, animals, etc. in life, and label them with instance segmentation.
Application Scenarios
Visual Entertainment
Data Collections
This dataset includes around 8k images, each meticulously annotated to capture the complexity of everyday scenes, segmenting and labeling everything from individual people and animals to buildings and natural landscapes. The extensive coverage of subjects and the detailed panoptic segmentation make this dataset particularly valuable for developing advanced content in visual entertainment, such as film production, video game development, and augmented reality experiences, providing a rich foundation for creating realistic and engaging virtual environments.
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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