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IT & Software
Complete Goat Detection and Counting Using YOLOv11
A
ARUNNACHALAM SHANMUGARAAJAN
2/8/2025
ยท
1 min read
Course Overview
Course Title:
Complete Goat Detection and Counting Using YOLOv11
Instructor:
ARUNNACHALAM SHANMUGARAAJAN
Target Audience:
Developers
AI enthusiasts
Agriculture or livestock industry professionals
Prerequisites:
Basic Python & ML Knowledge
Curriculum Highlights
Key Topics Covered:
Data Annotation and Preparation For Goat
Model Training and Optimization
Real-Time Application Deployment
Complete YOLOv11 Project
Key Skills Learned:
Understanding YOLOv11โs architecture
Collecting, labeling, and preprocessing data
Training YOLOv11 models for goat detection
Implementing real-time goat detection systems
Analyzing and refining detection results
Course Format
Duration:
35 mins on-demand video
Format:
Self-paced online course
Resources:
Assignments
Access on mobile and TV
Certificate of completion
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