CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks

CLIP Object Detection, search object on image using natural language #Zeroshot #Unsupervised #CLIP #ODS

Interactive tool to learn how yolo algorithm work, used in yt tutorial.

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

Implementation of "STN-OCR: A single Neural Network for Text Detection and Text Recognition" in natural Scenes by Christian Bartz.

A PyTorch implementation of Mask TextSpotter

This project is to correct errors from OCR text for Languages which its sentences without spaces

Open-AI's DALL-E for large scale training in mesh-tensorflow.

PyTorch Implementation of Fast Oriented Text Spotting (FOTS)

A concise but complete implementation of CLIP with various experimental improvements from recent papers

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network (CVPR 2020)

Transformer OCR is a Optical Character Recognition tookit built for researchers working on both OCR for both Vietnamese and English. This project only focused on variants of vanilla Transformer (Conformer) and Feature Extraction (CNN-based approach).

Synthetic handwritten Groningen Meaning Bank (GMB) dataset for full page text and entity recognition

Source code for WACV20 paper "Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition".

Optical character recognition (OCR) for historic printed documents using convolutional neural networks