by Ritesh Kanjee | Publisher: Packt Publishing | Release Date: December 2018 | ISBN: 9781838558789

The complete guide to creating your own custom AI Object Detection. Learn the Full Workflow - From Training to Inference About This VideoLearn the State of the Art in Object Detection using Yolo V3 pre-trained model,Discover the Object Detection Workflow that saves you time and money,The quickest way to gather images and annotate your dataset while avoiding duplicates,Secret tip to multiply your data using Data Augmentation,How to use AI to label your dataset for you,Find out how to train your own custom YoloV3 from scratch,Step-by-step instructions on how to Execute, Collect Images, Annotate, Train and Deploy Custom Yolo V3 models,In DetailWhen we first got started in Deep Learning particularly in Computer Vision, we were really excited at the possibilities of this technology to help people. The only problem is that if you are just getting started learning about AI Object Detection, you may encounter some of the following common obstacles along the way:Labeling dataset is quite tedious and cumbersome,Annotation formats between various object detection models are quite different.Labels may get corrupt with free annotation tools,Unclear instructions on how to train models - causes a lot of wasted time during trial and error.Duplicate images are a headache to manage.This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market.Amongst the possible solutions we arrived at using Supervisely which is free Object Detection Workflow Tool, that can help you:Use AI to annotate your dataset,Annotation for one dataset can be used for other models (No need for any conversion) - Yolo, SSD, FR-CNN, Inception etc,Robust and Fast Annotation and Data Augmentation,Supervisely handles duplicate images.You can Train your AI Models Online (for free) from anywhere in the world, once you've set up your Deep Learning Cluster.So as you can see, that the features mentioned above can save you a tremendous amount of time. All the code and supporting files for this course are available at:https://github.com/PacktPublishing/YOLO-v3---Robust-Deep-Learning-Object-Detection-in-1-Hour

1. Chapter 1 : Introduction to Yolo V3 Object Detection
   • Introduction 00:01:29
2. Chapter 2 : The Quickest Way to get YoloV3 up and Running!
   • Execute Yolo V3 00:09:34
3. Chapter 3 : How to Train Yolo V3 - Training & Workflow
   • 4 Steps to Setting up a Supervisely Deep Learning Cluster 00:09:32
   • How to Web Scrape Images for your Dataset like a PRO! 00:06:22
   • The Best Way to Annotate your Dataset 00:04:23
   • How to let the AI Annotate your Dataset for you - Human in the Loop Annotation 00:02:49
   • Got Little Data? No Problem! Data Augmentation to the Rescue ;) 00:04:25
   • How to Train a Yolo V3 Network 00:05:05
   • A Quick and Easy Method Deploying your Custom Object Detector after Training 00:06:19
4. Chapter 4 : Post-Processing and Maintenance
   • How to Record video, change bounding box color and add confidence percentage 00:05:33
   • Cleaning up you Supervisely Cluster and Cluster Maintenance 00:01:35