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Yolo11x Number Operator

Developed by leeyunjai
An object detection model optimized for recognizing numbers (0-10) and basic operators (+, -, ×, ÷, =)
Downloads 15
Release Time : 10/8/2024

Model Overview

This model adopts the YOLO11x architecture, capable of precisely locating numbers and operators in images and returning their coordinates and classification results.

Model Features

High-precision number recognition
Accurately recognizes numbers 0-10, including handwritten and printed forms
Operator detection
Detects basic arithmetic operators: addition (+), subtraction (-), multiplication (×), division (÷), and equals (=)
Real-time detection capability
Based on the YOLO architecture, achieves near real-time object detection performance

Model Capabilities

Number detection
Operator recognition
Image analysis
Object localization

Use Cases

Educational technology
Automatic math homework grading
Automatically identifies numbers and operators in students' handwritten math problems
Improves grading efficiency and reduces teacher workload
Smart calculator input recognition
Recognizes user's handwritten mathematical expressions via camera
Enables touchless calculator input
Document digitization
Mathematical formula extraction
Extracts mathematical expressions from scanned documents
Facilitates document digitization and content retrieval
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