We can create and train an Object Detection model based on "TensorFlow 2 Object Detection API" —> https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/index.html
There is also a file for evaluating the trained mode —> 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?
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