mukund-ks/DeepLabV3Plus-PyTorch
A DeepLab V3+ Model with ResNet 50 Encoder to perform Binary Segmentation Tasks. Implemented with PyTorch.
This tool helps scientists and researchers in agriculture or botany precisely identify and separate plants from their backgrounds in digital images. You input plant images, and it outputs a segmented image where plant pixels are clearly distinguished. This is useful for anyone needing to automate plant analysis from images, such as for phenotyping or disease detection.
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Use this if you need to automatically and accurately isolate plant regions from complex backgrounds in agricultural or botanical image datasets.
Not ideal if you need to distinguish between multiple different types of objects or plants within a single image, as it's designed for binary (plant/non-plant) segmentation.
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23
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 15, 2024
Commits (30d)
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