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Qberto authored Oct 5, 2018
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# Zebra-crossing model (extension to the CAFO site detection repository)

This model is an extension to the CAFO-Object Detection project. The model has been trained to detect zebra-crossing in NAIP imagery (specially in San Francisco area) . The satellite images for the training have been extracted from the road junctions of the Outer Richmond District in San Francisco, USA.

The folder [more](https://github.com/Qberto/ML_ObjectDetection_CAFO/tree/master/zebra_crossing_model/more) includes Tensorflow installation guide and command line inputs in Conda used in the various steps of preparation and training of the model.

*Help and Contact: [email protected]*

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