Sammuta is an Android-mounted wildfire recognition system trained on an ImageNet neural network across 250 image per class. It is built upon Google's Tensorflow Lite demo, and is completely open-source. This demo iteration is capable of distinguishing between forests, wildfires, and sandwiches.
Winner of the NASA SpaceApps Challenge 2018 (SG).
As this is forked from the original TF repository, You will find the android demo itself at Sammuta\tensorflow\contrib\lite\java\demo\app\src\main\java\com\example\android
You will also find the training dataset in its own .rar directory.
The final version of Sammuta will integrate with sensor networks and LANDSAT data to provide a multichannel early detection system.