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 YOLOv11’s 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