Online Knee Osteoarthritis Using Image Processing | Python Project
We first train the datasets. We have 5 classes of images and after training by CNN algorithm used in this project, we have different convolutional layers forming on it and after each layer, the precision keeps increases. How many layers being used depends upon the number of eposch used. More the number of eposch, more the precision. After a .h5 file is created which contains all the attributes and confidence score for each detection class.
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