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.

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.

OCR-D processor for TrOCR

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

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

元智大學選課機器人，你的搶課好幫手

AutoRegressive Transformer Model for Optical Character Recognition In Farasi

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

Vietnamese Optical Character Recognition with Pre-trained Models

Text Drawing and Recognition in A-Frame

I integrated the TrOCR model with the Django framework

TL;DR: captcha image reconition api server

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

Mobile application written in react-native for android for digitizing handwritten notes. Still in development.

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.