ajithvcoder/UNet-Pytorch-Customdataset
Unet pytorch on Custom dataset
This tool helps researchers and analysts automatically identify and outline specific regions within images. It takes a collection of images and their corresponding hand-drawn outline maps, then produces new images where the identified regions are clearly highlighted. This is useful for anyone who needs to precisely measure or analyze specific areas within visual data, such as medical imaging specialists or environmental scientists.
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Use this if you need to train a system to automatically segment and delineate specific objects or areas within your own custom image datasets, particularly when those areas can be represented as binary (on/off) masks.
Not ideal if your images are of varying sizes, use different color spaces, or if your masks have more than two distinct values (e.g., multiple categories of objects to segment).
Stars
13
Forks
7
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
May 07, 2023
Commits (30d)
0
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