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Yolo11 Number Operator

Developed by leeyunjai
An object detection model based on the YOLO11x architecture, specifically designed to recognize digits (0-10) and basic arithmetic operators (addition, subtraction, multiplication, division, etc.) in images.
Downloads 15
Release Time : 10/8/2024

Model Overview

This model adopts the YOLO11x architecture and is optimized for digit and operator detection tasks, capable of accurately identifying and locating mathematical symbols in images.

Model Features

High-precision digit recognition
Capable of accurately detecting digits 0-10 and common operators
Real-time detection capability
Based on YOLO architecture, enabling near real-time object detection
Lightweight model
Presumed to have a small model size, suitable for deployment on various devices

Model Capabilities

Digit detection in images
Mathematical operator recognition
Object localization
Simultaneous multi-object detection

Use Cases

Educational technology
Automatic math homework grading
Automatically recognize handwritten or printed mathematical expressions from students
Improves grading efficiency
Document digitization
Mathematical formula extraction
Extract mathematical expressions from scanned documents
Facilitates subsequent processing and storage
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