These projects all apply machine learning and computer vision techniques to detect, classify, or recognize Armenian letters and symbols, primarily using the Mashtots dataset.
A deep learning project implementing convolutional neural networks (CNNs) to classify handwritten Armenian alphabet c...
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 for classifying images of Armenian dishes using a machine learning model. The project includes a Re...
A computer vision project for detecting and locating Armenian letters from drone imagery. It appears to be a contest ...
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 ...
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 project implementing an autonomous UAV navigation system that recognizes Armenian alphabet letters from aerial imag...
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...
This repository implements an unconditional Denoising Diffusion Probabilistic Model (DDPM) trained on a custom datase...
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...
A research project from the National Polytechnic University of Armenia that develops an end-to-end system for generat...