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GitHub / piygot5 / Cataract-Detection-and-Classification

This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/piygot5%2FCataract-Detection-and-Classification

Stars: 12
Forks: 12
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 80.6 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: about 4 years ago
Last synced at: over 1 year ago

Topics: accuracy, cataract, cataract-detection, classification, cnn, deep-learning, flask, glcm, haar-cascade-classifier, haarcascade-frontalface, logistic-regression, machine-learning, mobilenetv2, opencv, opencv-algorithms, sift, squeezenet, svm-classifier

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