Questions about image-classification
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Multiclass Classification model not training properly. Why is the training loss constant?
I am trying to train a model using keras, for multiclass classification. There are 5 classes from which to predict. This is an image classification problem, as mentioned before there are five classes ...
Splitwire Z
Votes: 0
Answers: 2
How to improve the F1-score in CNN classification
My project is about classification of brain mri scans.
It is important that my model goes more to false positives then false negatives, because I'm working with medical data. It is better to false det...
ouassimboo
Votes: 0
Answers: 1
Convert multi class classification to binary image classification
I would like to convert a multi-class image to binary, to result in two bati / non-bati classes for that I started by writing this little code, but I don't know how to assign the value 0 to my classes...
sarah1904
Votes: 0
Answers: 1
MobileNet model trained on fruits dataset with 0.999 validation accuracy is making wrong predictions on test images
I'm building an android app that can identify different types of fruits. For the dataset, I'm using Fruits-360 Dataset with the white background replaced with images from Open Images Dataset using thi...
Snake Jazz
Votes: 0
Answers: 0