1# objectImageIdentifierAI
 2
 3- imagesToDataset
 4    - From two directories ('object' and 'noobject'), gets all the images inside the directories and generates the dataset
 5- nnTrain
 6    - From the dataset file generated in the previous step, train the Neural Network
 7- serverPredictor
 8    - Runs a server API, that with the Neural Network classifies the incoming images
 9- smartphoneApp
10    - Take photo and upload to the server, to get the response (object or no object)
11
12![hotdognohotdog](https://raw.githubusercontent.com/arnaucode/objectImageIdentifierAI/master/hotdognohotdog.png "hotdognohotdog")