Standard DatasetsOutdoor Objects Semantic Segmentation Dataset
The "Outdoor Objects Semantic Segmentation Dataset" is developed for applications in media & entertainment and robotics, consisting of a variety of internet-collected images with resolutions ranging from 1024 x 726 to 2358 x 1801 pixels. This dataset employs bounding box and key points annotations to segment various outdoor elements, including human body parts, natural scenery, architectural structures, pavements, transportation means, and more.
Sample
Specification
Dataset ID
MD-Image-044
Dataset Name
Outdoor Objects Semantic Segmentation Dataset
Data Type
ImageVolume
About 7.1k
Data Collection
Internet collected images. Resolution ranges from 1024 x 726 to 2358 x 1801
Annotation
Key Points,Bounding Box
Annotation Notes
The dataset includes human body parts, natural scenery, architecture, pavement, pavement facilities, means of transportation and several other categories.
Application Scenarios
Media & Entertainment;Robot
Data Collections
This dataset includes approximately 7.1k images, each annotated to identify and segment a diverse array of outdoor objects and scenes. The detailed annotations cover everything from individual human body parts to broader categories like transportation and infrastructure, making it a versatile resource for creating immersive outdoor environments in media and entertainment, as well as for developing navigation and interaction capabilities in robotics.
Quality Assurance
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