Standard Datasets

Blur Area Segmentation Dataset

The "Blue Area Segmentation Dataset" is designed for use in robotics and visual entertainment, composed of internet-collected images with resolutions ranging from 960 x 720 to 1024 x 768 pixels. This dataset focuses on semantic segmentation, specifically targeting blue areas within images. Each blue area is annotated at the pixel level, providing valuable data for applications requiring color-based segmentation or analysis.

Sample

Specification

Dataset ID

MD-Image-040

Dataset Name

Blur Area Segmentation Dataset

Data Type

Image

Volume

About 20k

Data Collection

Internet collected images. Resolution ranges from 960 x 720 to 1024 x 768.

Annotation

Semantic Segmentation

Annotation Notes

Each blur area is annotated at pixel level, and the degree of fuzziness is also annotated.

Application Scenarios

Robotics;Visual Entertainment

Data Collections

This dataset encompasses around 20k images, with each one featuring pixel-level annotations of blue areas. The precise segmentation of color areas is particularly useful for robotics applications that rely on color for navigation or object recognition, as well as in visual entertainment for enhancing visual effects, color grading, or content creation that requires specific color identification and manipulation.

Quality Assurance

Related products

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