awesome-deep-text-detection-recognition and deep-text-recognition-benchmark
The first tool provides an implementation of deep learning methods for text recognition, while the second offers a curated list of resources for text detection and recognition, making them complements where the list can guide users towards using or understanding theall aspects of the first tool.
About awesome-deep-text-detection-recognition
hwalsuklee/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
This is a curated list of research papers and resources focused on extracting text from images, often referred to as Optical Character Recognition (OCR). It helps practitioners understand the current state-of-the-art and find relevant academic work on text detection and recognition. Researchers, engineers, or data scientists working on computer vision tasks involving text extraction would use this to inform their work.
About deep-text-recognition-benchmark
clovaai/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
This project helps you accurately convert images of real-world text, like signs or labels, into digital text that computers can understand. You feed it an image containing text, and it outputs the extracted text. This tool is ideal for researchers, data scientists, or anyone working with optical character recognition (OCR) systems, particularly those focused on challenging 'scene text' found in photos, rather than scanned documents.
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