Course Overview
- Course Title: Complete Machine Learning Project Using YOLOv9 From Scratch
- Instructor: ARUNNACHALAM SHANMUGARAAJAN
- Target Audience: Beginners in machine learning, Experienced practitioners, Those interested in object detection and computer vision
- Prerequisites: Basic knowledge of Python programming, Familiarity with machine learning concepts
Curriculum Highlights
- Key Topics Covered:
- Introduction to object detection
- Setting up a Python environment for machine learning
- Data collection and annotation using Roboflow
- Introduction to YOLOv9 algorithm
- Training and fine-tuning an object detection model
- Model evaluation and testing
- Key Skills Learned:
- Building a robust object detection model from scratch
- Applying YOLOv9 algorithm for real-time object detection
- Data collection, annotation, and preparation for object detection
- Model training, optimization, and evaluation
Course Format
- Duration: 31 minutes of on-demand video
- Format: Self-paced online course
- Resources: 1 downloadable resource, Access on mobile and TV, Certificate of completion