Dive into a comprehensive tutorial series on YOLO v3 object detection. Learn how to implement YOLO v3 on Windows with GPU, understand the fundamentals of YOLO object detection, and master web scraping techniques for image collection using OpenCV and Python. Explore efficient dataset annotation methods, train your own object detection model, and discover deployment strategies. Gain insights into becoming an AI practitioner in computer vision, addressing common questions in the field. Enhance your skills with practical tips for professional growth in AI-CV through this in-depth, hands-on learning experience.
Overview
Syllabus
Introduction to Yolo V3 Object Detection - FULL COURSE.
Yolo v3 Object Detection - How to Implement Yolo V3 Object Detection on Windows with GPU | Tut #1.
What is YOLO Object Detection?.
Yolov3 Object Detection Tutorial #3 - Web Scrape Images | OpenCV Python | Computer Vision 2020.
Yolo v3 Tutorial #4 - Object Detection Training Part 3 - Super Quick Dataset Annotation.
Yolo v3 Object Detection Tutorial #5 - Object Detection Training Pt4.
Yolov3 Object Detection Tutorial #6 - Deploying Your Model | OpenCV Python | Computer Vision 2020.
Yolov3 Object Detection Tutorial #2 - Training Part 1 | OpenCV Python | Computer Vision 2020.
How to Be an AI Practitioner in 2019/2020 - 5 Step AI in Computer Vision Workflow.
7 Frequently Asked Questions on AI in Computer Vision.
Trailer - 10 Tips to becoming a PRO Practitioner in AI-CV (AI in Computer Vision) Webinar.
Taught by
Augmented Startups
