We can create and train an Object Detection model based on Training Custom Object Detector —> https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/index.html There is also a file for evaluating the trained mode ==> Training Custom Object Detector —> https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#evaluating-the-model-optional But how can I view images in the test dataset that were not recognized by the detection/pictures on which objects were not detected?
I read the documentation ...
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