How to adapt Image Category Classification Using Deep Learning example with Fast R-CNN ?
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Hi. I'm a novice in Matlab and Deep learning.
I already made a classification using the method used in this example "Image Category Classification" for my own dataset (700images in 7categories : 100 each) with the alexnet layers.
But now I want to use that classification to detect the objects in a bigger image using Faster R-CNN. I already made the RCNN training, but it was not accurate at all and took me 2 days for the training !
Any help ?