a unet model trained for the semantic segmentation of leaf images 🍃
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Updated
Jun 26, 2021 - Python
a unet model trained for the semantic segmentation of leaf images 🍃
This repository contains leaf segmentation solutions developed using image processing techniques.
A leaf segmentation algorithm written in Python3 using OpenCV.
End-to-end model pipeline consisting of classification and segmentation models to classify crop diseases with high certainty. Focus on production and real-life scenarios.
Using computer vision with deep learning methods to identify and estimate the stress severity caused by biotic agents on coffee leaves.
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