Standard DatasetsMulti-Scenario, Multi-Person Instance Segmentation Dataset
The "Multi-Scenario, Multi-Person Instance Segmentation Dataset" is designed for diverse applications in visual entertainment, media & entertainment, and e-commerce & retail sectors. It consists of a collection of internet-collected images with resolutions exceeding 640 x 480 pixels. This dataset is characterized by its variety, featuring different scenarios such as individuals sitting, groups seated together, people holding props, interacting with various attire like hats and bags, and making different gestures. It employs instance segmentation and bounding box annotations to facilitate comprehensive analysis of human subjects within these varied contexts.
Sample
Specification
Dataset ID
MD-Image-100
Dataset Name
Multi-Scenario, Multi-Person Instance Segmentation Dataset
Data Type
ImageVolume
About About 10k
Data Collection
Internet collected images. Resolution is above 640x480.
Annotation
Instance Segmentation,Bounding Box
Annotation Notes
This dataset features various scenarios, including individuals sitting, groups seated together, people holding props, interacting with attire such as hats and bags, and making various gestures. It utilizes instance segmentation and bounding box annotations for comprehensive human subject analysis.
Application Scenarios
Media & Entertainment;E-Commerce;Visual Entertainment
Data Collections
This dataset includes approximately 10k images, each annotated with instance segmentation and bounding boxes to identify and analyze human subjects in a multitude of scenarios. The detailed annotations provide valuable insights into human poses, interactions, and the use of accessories and props, making this dataset particularly useful for developing advanced content in visual entertainment, enhancing character modeling and interaction in media production, and improving product visualization and customer engagement strategies in e-commerce and retail. The diverse scenarios and precise segmentation support a wide range of applications, from creating more realistic and interactive digital environments to analyzing customer behavior and preferences.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
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