In this article, the focus is on creating a custom AI model capable of recognizing images using Paddle OCR, a highly efficient open-source framework. It guides the reader through setting up the environment, preparing the training data, selecting a pre-trained model for fine-tuning, and training the model. A pre-made Google Colab notebook is provided to streamline the process, ensuring that users are equipped with necessary tools and knowledge to successfully extract text from images and apply OCR technology effectively.
We're going to walk through setting up an environment, preparing data for training, choosing a pre-trained model, adjusting configurations, and training an OCR model.
Paddle OCR is an open-source framework that excels in detecting and recognizing text from images, videos, providing high accuracy in text extraction.
Before diving into code, ensure your environment is properly set up with a suitable GPU and memory to facilitate a smooth fine-tuning process.
Clone the provided Google Colab notebook for a step-by-step guide to create a ready-to-use OCR model tailored to your specific needs.
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