Projeto acadêmico da disciplina de Domínios de Software.

An example questionnaire sheet using the LaTeX format with docker.io/yasuhiroabe/sdaps-ja:ub2204-20231004.

Ruby library for communicating with the Aspose.OMR Cloud API

Machine Learning Model and API for Rully Project - Universal Bubble Sheet Grader

Automated bubble-sheet grading tool using Python and OpenCV. Performs optical mark recognition on answer sheets, extracts student IDs and outputs scores and answer keys.

Visión artificial para calificar hojas de respuestas

A web-based automated OMR sheet grading system powered by a custom YOLOv12 model. Detects marked answers, compares them with an answer key, and generates instant scoring with section-wise analysis through a clean Streamlit interface.

Web application that automatically fills OMR sheets from scanned answer data.

Optical Music Recognition project to perform translations from music sheets images to music encoding formats (MIDI, MEI ecc.)

simple omr suite with python and latex

Dataset Generator for the COMReF paper

An Optical mark recognition project that uses OpenCV to automatically grade multiple-choice answer sheets.

Next-gen AI Optical Music Recognition (OMR) platform. Convert sheet music images into playable ABC notation instantly using Google Gemini 3 Pro Vision. Built with React 19, TypeScript, and Tailwind.

OMR Application used for extracting handwriting graphology features.

Teaching a computer how to read/perform music.

This docker image is a modified version based on the sdaps package on ubuntu 22.04.

OMR parsing using OpenCV

Grades the reading section of a SAT collegboard form given a picture