cvjena/cn24
Convolutional (Patch) Networks for Semantic Segmentation
This tool helps researchers and engineers analyze images by automatically labeling every pixel with a specific category, like 'road', 'building', or 'sky'. You input raw images, and it outputs segmented images where each pixel is colored according to its identified category. This is useful for anyone working with image analysis in fields like autonomous driving, satellite imagery, or medical imaging.
123 stars. No commits in the last 6 months.
Use this if you need to precisely classify every pixel in an image for tasks like identifying objects, understanding scenes, or detecting specific features.
Not ideal if you only need to classify entire images or detect bounding boxes around objects, rather than pixel-level segmentation.
Stars
123
Forks
44
Language
C++
License
BSD-3-Clause
Category
Last pushed
Sep 01, 2021
Commits (30d)
0
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