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YOLO v3 - Robust Deep Learning Object Detection in 1 hour

 YOLO v3 - Robust Deep Learning Object Detection in 1 hour
Udemy Course YOLO v3 - Robust Deep Learning Object Detection in 1 hour | NED
Learn the State of the Art in Object Detection using Yolo V3. Discover the Object Detection Workflow that saves you time and money. The quickest way to gather images and annotate your dataset. Secret tip to multiply your data using Data Augmentation
by Augmented Startups

What you'll learn
  • Learn the State of the Art in Object Detection using Yolo V3.
  • Discover the Object Detection Workflow that saves you time and money.
  • The quickest way to gather images and annotate your dataset.
  • 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, Annotate, Train and Deploy Custom Yolo V3 models.
 Description

Learn how we implemented YOLO V3 Deep Learning Object Detection Models From Training to Inference - Step-by-Step

When 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.
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