How to add negative examples to a training data set for knn ocr opencv python
I want to improve the accuracy of my opencv knn algorithm according to the recommendations of this tutorial https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_ml/py_knn/py_knn_opencv/py_knn_opencv.html But I could not find information on how to add negative examples as the author advises
One option improve accuracy is to add more data for training, especially the wrong ones. (One way to improve accuracy is to add more data for learning, especially incorrect).
Tell me how to increase the accuracy by adding negative data: 1. How do I add them? 2. Where to add them?
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Author: HiddenFox29, 2020-07-07