trocr

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

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元智大學選課機器人，你的搶課好幫手

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

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

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

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

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.

OCR Plate Number

Finetuning based OCR solution

I integrated the TrOCR model with the Django framework

Text Drawing and Recognition in A-Frame