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POCONet

Road Way to Safety

CNN Model

We are using YOLOv2 model architecture to detect potholes.
Model is trained on a dataset containing 259 images having a total of 829 potholes in them.

To detect potholes on any image or video just run the following command-
python predict.py -c config.json -w saved_weights.h5(path of the saved weight should be provided) -i (Image or video path)

Image

Road with potholes

Detected potholes

Road with potholes detected

Now to Visualize detected potholes on google map simply go through maps.ipynb .

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Road Way to Safety

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