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Brazilian-Coffee-Detection

Satellite image classification with Tensorflow and Keras. The dataset used is available here. The network architecture is based on the PatreoNet, however pretrained weights were not used.

image<br> <sub>Flowchart of network architecture. <br>Credit: Towards better exploiting convolutional neural networks for remote sensing scene classification - Keiller Nogueira, Otávio A.B. Penatti b, Jefersson A. dos Santos

Results

Accuracy: 72.5%<br> Loss: 0.562

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There is still a lot of room for improvement, the presented version is the first one.