These projects all focus on using machine learning and computer vision techniques to recognize, classify, or digitize Armenian script, primarily from handwritten or historical document sources.
An Armenian OCR pipeline combining CRAFT for text detection and a deep learning model for text recognition, specifica...
An open-source OCR model trained for Armenian text recognition, supporting Classical, Western, and Eastern Armenian. ...
A deep learning project implementing convolutional neural networks (CNNs) to classify handwritten Armenian alphabet c...
This repository implements an Armenian handwriting text recognition system using computer vision and machine learning...
A Jupyter Notebook implementing a ResNet-based deep learning model for Armenian handwritten character recognition, tr...
A Convolutional Neural Network (CNN) model for recognizing characters of the Armenian alphabet, achieving ~95% accura...
A web application that uses machine learning to classify images of Armenian dishes into nine categories. The project ...
A Jupyter Notebook project implementing a Convolutional Neural Network (CNN) to classify Armenian handwritten letters...
This project implements a deep learning system for detecting and recognizing handwritten Armenian characters using a ...
An AI-powered system for analyzing scanned Armenian newspapers using computer vision (YOLO for section detection, Ope...
A machine learning project for recognizing handwritten Armenian alphabet characters using the Mashtots Dataset v2. It...
A machine learning project for classifying Armenian coins (10, 20, 100 dram) using classic ML models like SVM, Random...
A real-time Armenian Sign Language translator using MediaPipe for hand landmark extraction and an LSTM neural network...
A real-time Armenian sign language translation tool using MediaPipe for hand landmark extraction and an LSTM neural n...
A real-time Armenian license plate detection system using YOLOv5 for object detection, packaged with a Streamlit web ...
A CNN-based project for recognizing Armenian alphabet letters from grayscale images using the Mashtots Dataset v2. Th...
A machine learning project for classifying handwritten Armenian letters using the Mashtots Dataset v2 from Kaggle. It...
A machine learning model for classifying Armenian letters (both uppercase and lowercase) using a Convolutional Neural...
An OCR project for Armenian handwritten text using the Mashtots dataset, implemented in TensorFlow/Keras and trained ...
A Jupyter Notebook project implementing a CNN for Armenian handwritten letter recognition using PyTorch. It classifie...
This project implements an automated system for detecting and classifying Armenian coins using YOLOv5 for object dete...
A computer vision project using YOLOv8 to classify images of five endangered Armenian animals from the Red Book of Ar...
A project that trains a LeNet-5 convolutional neural network on Armenian script characters. It includes data preparat...
An end-to-end pipeline for digitizing Classical Armenian (Grabar) texts from scanned PDFs into a searchable, translat...