Main Objects Segmentation Dataset
The progress of video and photo editing applications relies heavily on high-quality datasets for machine learning models training. Our carefully selected datasets play a crucial role in enhancing the abilities of such applications, by offering accurate segmentation and recognition of different elements within images and videos.
The "Main Objects Segmentation Dataset" is designed for applications in robotics and visual entertainment, comprising a vast collection of internet-collected images with resolutions ranging from 189 x 223 to 5472 x 3648 pixels. This dataset focuses on contour and semantic segmentation of a single labeled subject in each image, providing a clear and isolated view of the primary object for detailed analysis and application.
Sample
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Specification
Dataset ID
MD-Image-038
Dataset Name
Main Objects Segmentation Dataset
Data Type
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Volume
About 177.4k
Data Collection
Internet collected images. Resolution ranges from 189 x 223 to 5472 x 3648.
Annotation
Semantic Segmentation,Contour Segmentation
Annotation Notes
There is only one labeling subject in each image.
Application Scenarios
Robotics;Visual Entertainment
Data Collections
Encompassing approximately 177.4k images, this dataset is unique in that it contains only one labeling subject per image, allowing for focused segmentation of the main object. The variety of resolutions and the clarity of the segmentation make it an invaluable resource for developing precise object recognition algorithms in robotics and creating detailed digital environments in visual entertainment, enhancing realism and interaction capabilities.
Quality Assurance
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Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
FASSEG Repository [Learn more]
This collection offers datasets for frontal face segmentation (Frontal01 and Frontal02) and a dataset for faces in multiple poses (Multipose01).These datasets can be valuable for training models to perform face segmentation in different orientations and conditions.
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