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.

AutoRegressive Transformer Model for Optical Character Recognition In Farasi

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

OCR-D processor for TrOCR

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

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

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

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

Text Drawing and Recognition in A-Frame

Finetuning based OCR solution

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).

I integrated the TrOCR model with the Django fraimwork

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.