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How To Fine-Tune The CRAFT Text Detection Model In EasyOCR
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How To Fine-Tune The CRAFT Text Detection Model In EasyOCR

Last Updated on January 31, 2024 by Editorial Team

Author(s): Eivind Kjosbakken

Originally published on Towards AI.

The CRAFT model (Character-Region Awareness For Text detection) model in EasyOCR is used to detect bounding boxes of text inside an image. These bounding boxes are then sent to the text recognizer module of EasyOCR to read out the text in each image. Together, the CRAFT module and the text recognizer make up the pipeline of EasyOCR. In a previous article, I showed you how to fine-tune the text recognizer module, while this article will focus on how you can fine-tune the CRAFT module of EasyOCR. Together, fine-tuning both modules of the EasyOCR module can help build a powerful OCR engine, you can use for your desired use case

Learn how to fine-tune the text detection model in EasyOCR in this tutorial. OpenAI. (2024). ChatGPT [Large language model]. /g/g-2fkFE8rbu-dall-e

· Motivation· Create a dataset· Clone Git repo· Download a pre-trained model:· Configure the yaml file· Run the fine-tuning· A note on encodings· Conclusion

This article is important as it teaches you how to fine-tune on of the two modules that make up EasyOCR, namely the text detection module. The text detection module detects bounding boxes in the image, which is a vital part of a good OCR engine. If you want your OCR… Read the full blog for free on Medium.

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