nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
This project helps computer vision researchers and practitioners precisely identify and separate objects within images. By taking an image as input, it outputs a detailed mask that outlines each distinct object, making it easy to analyze or manipulate individual elements. It's designed for those working with image analysis, robotic perception, or autonomous systems.
937 stars. No commits in the last 6 months.
Use this if you need to accurately delineate the boundaries of objects in complex scenes for applications like self-driving cars or medical image analysis.
Not ideal if you only need to classify entire images or detect bounding boxes around objects without pixel-level precision.
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937
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200
Language
Python
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Last pushed
Oct 23, 2023
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