Udemy – YOLOv3 – Robust Deep Learning Object Detection in 1 hour 2020-5

Udemy – YOLOv3 – Robust Deep Learning Object Detection in 1 hour 2020-5 Downloadly IRSpace

Apr 17, 2025 - 12:45 Updated: Aug 17, 2025 - 12:26

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Udemy – YOLOv3 – Robust Deep Learning Object Detection in 1 hour 2020-5

YOLOv3 – Robust Deep Learning Object Detection in 1 hour, 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. So as you can see, that the features mentioned above can save you a tremendous amount of time. In this course, I show you how to use this workflow by training your own custom YoloV3 as well as how to deploy your models using PyTorch. So essentially, we’ve structured this training to reduce debugging, speed up your time to market and get you results sooner.

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.

Who this course is for

This course is for students with python, opencv or AI experience who want to learn how to do Object detection with Yolo V3.
Those who do not need or already have a theoretical understanding of Object Detection, CNN’s and Yolo Architecture.
Those who are looking for a practical only approach to Object Detection with Yolo V3.

Specificatoin of YOLOv3 – Robust Deep Learning Object Detection in 1 hour

Publisher : Udemy
Teacher : Augmented Startups
Language : English
Level : Intermediate
Number of Course : 20
Duration : 2 hours and 18 minutes

Content of YOLOv3 – Robust Deep Learning Object Detection in 1 hour

YOLOv3 - Robust Deep Learning Object Detection in 1 hour

Requirements

Have prior experience in Python using Anaconda.
A PC/Laptop with CUDA-enabled NVIDIA graphics Card for training – We use Ubuntu for training.
Create a Free Account with Supervisely.
Be Familiar with Computer Vision or AI.