Optical Character Recognition (OCR)
Collection
6 items
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Updated
This model is a fine-tuned version of microsoft/trocr-base-printed on an unknown dataset. It achieves the following results on the evaluation set:
This model extracts text from image Captcha inputs.
For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Optical%20Character%20Recognition%20(OCR)/Captcha/OCR_captcha.ipynb
This model is intended to demonstrate my ability to solve a complex problem using technology. You are welcome to test and experiment with this model, but it is at your own risk/peril.
Dataset Source: https://www.kaggle.com/datasets/alizahidraja/captcha-data
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
10.4464 | 1.0 | 107 | 0.5615 | 0.0879 |
10.4464 | 2.0 | 214 | 0.2432 | 0.0262 |
10.4464 | 3.0 | 321 | 0.1380 | 0.0075 |