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I have generated segments of an image. Each segment represent one object. How to train these segments to recognize objects?
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An image contains multiple objects. Segment is generated for each object. i.e. segmented image contains an object with black bakround which represents mask for other region than object of interest. I want to train Deep learning network for these segments. I have replaced 23rd layer of alexnet with newly created fullyconnectedlayer. when I trained and tested some set of images , test images are classified in classes to which alexnet is already trained. Neither of image is classified in class for which i have trained my images. How to train segmented for objects of given class. how to minimize impact of other classes of alexnet?
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MUHAMMED IRFAN
2018-6-14
Hello,
No one can answer your question without actually seeing what you have done in your code. Please share your code.
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