TensorFlow step by step training custom Object-detection classifier
In this part and few in the future, we’re going to cover how we can track and detect our own custom objects with this API.
I am doing this by using the pre-built model to add custom detection objects to it. That’s a decent jump from my findings, and it’s quite hard to locate any full step-by-step tutorials, so hopefully, I can help you with that. Once you finish this tutorial you will have the ability to train for any custom object you can think of (and create data for) – that’s an awesome skill to have in my opinion.
Text tutorial: http://pylessons.com/Tensorflow-object-detection-step-by-step-custom-object-detection/
GitHub tutorial: https://github.com/pythonlessons/TensorFlow-object-detection-tutorial/tree/master/5_part%20step%20by%20step%20custom%20object%20detection
LabelImg utility: https://github.com/tzutalin/labelImg#installation
Pretrained models: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md/
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