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

OCR-D processor for TrOCR

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

A service for extracting and indexing archival document images

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.

FrameReader is a full-fledged service for recognizing text on frames of video materials in Russian, training, deployment of computer vision models to solve the OCR problem. Optimization of models on the tensorrt engine

This is a handwritten-equations to latex-equations converter, built using trocrbasestage1 model + CROHME dataset + custom-built SentencePiece Tokenizer (latex)

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

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

TL;DR: captcha image reconition api server

Finetuning based OCR solution

Text Drawing and Recognition in A-Frame

Trainings-pipeline to create a model to digitalising a chess scoresheet

Machathon 6.0 challenge to develop AI-driven models for digitizing handwritten prescriptions, enhancing accuracy, accessibility, and patient care.

Doxaria OCR/HTR for medical insurance documents

A web application for recognising handwriting using TrOCR model