Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Handwritten mathematical symbols recognition with TrOCR

An image to text model base on transformer which can also be used on OCR task.

A safer way to organize your handwritten medical prescriptions with the functionality of blockchain.

OCR-D processor for TrOCR

AutoRegressive Transformer Model for Optical Character Recognition In Farasi

In this project, I used Yolo V8 by Ultralytics to make this project work.The application’s task is to extract car plate numbers accurately by using the techniques mentioned above.

元智大學選課機器人，你的搶課好幫手

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MNIST Sequence Image-to-text TrOCR transformer using Hugging Face

Solution than scored top #3 in Super AI Kaggle competition: handwritten digit hackathon

Text Drawing and Recognition in A-Frame

Finetuning based OCR solution

TL;DR: captcha image reconition api server

A TrOCR-small-printed model fine-tuned on 419,880 CAPTCHAs from the YZU Course Selection System.

Doxaria OCR/HTR for medical insurance documents

I integrated the TrOCR model with the Django framework

The description provides a comprehensive overview of the project, including its purpose (industrial text recognition), functionality (OCR, preprocessing, networking), technical details (libraries, performance optimization), and benefits (automation, error reduction).

A basic Python script to create either a TXT annotation file used to generate a TFRecords dataset, or a CSV file to use it directly as a Filename/label dataset's annotation file.