This course aims to teach learners how to implement YOLO v3 Object Detection on Windows with GPU. The course covers topics such as YOLO Object Detection, web scraping images, dataset annotation, model deployment, and AI in Computer Vision workflow. The teaching method includes practical tutorials using OpenCV Python. This course is intended for individuals interested in deep learning, computer vision, and AI practitioners looking to enhance their skills in object detection.
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
