This program is part of the Infralearning project, an AI program used to evaluate the assets of Road Network.
This program is the engine that uses the data of the mounter to create AI Models to be used by the evalutor to predict and classify road assets.
This engine uses TensorFlow to create AI models based on the data provided by the mounter. The model is saved in the models folder and can be used to predict and classify road assets.
The engine is abstract enough that it can be used to create AI models for any kind of data that uses images for classifications, not only road assets.
The engine already creates out-of-the-box models for Binary Classification (0 or 1) (absent or present) and Multi Classification (0, 1, 2, 3, 4, 5, 6, 7, 8, 9).