We ignore punctuation and letter case because the out-of-the-box recognizer in keras-ocr (provided by this independent repository) does not support either.

Again, please open an issue if you find a mistake! It is possible that I made some error in configuration or parsing. In particular, the cloud APIs have a variety of options that one can use to improve their performance and the responses can be parsed in different ways.

Please open an issue if you find a mistake.

As of this writing, they should be considered a very rough first draft. No guarantees apply to these numbers - please beware and compute your own metrics independently to verify them.We limited it to 1,000 because the Google Cloud free tier is for 1,000 calls a month at the time of this writing. We provide some metrics below and the notebook used to compute them using the first 1,000 images in the COCO-Text validation set. You may be wondering how the models in this package compare to existing cloud OCR APIs. Comparing keras-ocr and other OCR approaches

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