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I am working on an image classification problem, the input data normally is images to classify, but I thought latitude and longitude would play something on these satellite images. I sorted by latitude, but I could sort by x and y coordinates and applied an LSTM model, that proved coordinates has an influence on target.

How to add this as a neural network (LSTM) to the more important image classification neural network. Any hint or suggestion would be much appreciated.

bacloud14
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    I didn't figure out your question completely but you may want something like this. – Green Falcon Dec 24 '18 at 19:16
  • Check kaggle competitions for more ideas :) if I got you questions l correctly, you must train your CNN to output two things then... One the probability and secondly the latitude and the longitude it thinks the image is from maybe – Aditya Dec 24 '18 at 20:06
  • @Aditya you didn't get my question, latitude and longitude are features among image data, orientation is the target. – bacloud14 Dec 25 '18 at 02:24
  • Yep! I forwarded your question to get help! Will update if someone shares anything that can help you! – Aditya Dec 25 '18 at 02:31
  • @Aditya Media's suggestion seems the right one, I will be back with something . ty – bacloud14 Dec 25 '18 at 02:34

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