Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 24 Minute(s)
Language
English
Taught by
Ineuron Intelligence
Rating
3 views
Course Overview
Become an Object Detection Guru. Build Object Detection model using Deep Learning with Tensorflow, Detectron2 and YoloV5
Become an Object Detection Guru with the latest frameworks available like Tensorflow, Detectron2, and YoloV5. In this course, you will be learning to create four different object detectors using multiple frameworks from scratch. Creating end-to-end web applications for object detectors using multiple deep learning frameworks in this practical-oriented course. You will be a wizard of building State of the art object detection applications.
4 Real Time Projects Included for 4 different frameworks.
More updates coming soon with more content and sections
1. detecto (May 2021 Update)
2. d2go (May 2021 Update)
3. mmdetection (June 2021 Update)
4. How to use Paperspace for training? (May 2021 Update)
5. How to use DataCruch for training? (May 2021 Update)
6. Moving from Flask to FastAPI (June 2021 Update)
7. Dockerizing your Applications (June 2021 Update)
8. Deploying your Applications in Cloud (July 2021 Update)
This course will show you the strategies used by real data scientists and machine learning professionals in the tech industry - and train you for a leap into this trendy career path if you have any programming experience.
Over 100 lectures are included in this detailed object detection tutorial. The emphasis is on practical understanding and implementation.
This course was created to assist you in learning how to train and evaluate object detection models.
This is accomplished by assisting you in a variety of ways, including:
Developing the requisite intuition to address most questions about object detection using deep learning, which is a common subject in interviews for roles in computer vision and deep learning.
By showing you how to create your own models using your own data.
You'll be able to develop some effective Computer Vision solutions as a result of this.
You'll also have access to the Skype Group, which will enable you to communicate with me and your classmates.
So, what exactly are you waiting for?
Enroll right now!
Course Content
- 10 section(s)
- 107 lecture(s)
- Section 1 Introduction and Setup
- Section 2 Covering Python Basics
- Section 3 Introduction to Object Detection
- Section 4 Object Detection using Tensorflow 1.x
- Section 5 Training Mask Detector using TFOD1.x
- Section 6 Building a TFOD1.x Web Application
- Section 7 Object Detection using Tensorflow 2.x
- Section 8 Custom Training with TFOD2.x
- Section 9 Creating a Web Application with TFOD2.x
- Section 10 Object Detection using Facebooks's Detectron2
What You’ll Learn
- Object Detection
- Building AI Applications
- Tensorflow1.x Object Detection
- Tensorflow 2.x Object Detection
- Facebooks's Detectron2
- YoloV5
- Working with Image Datasets
- Building Flask Web Applications
- API Testing with Postman
- Data Annotation & Labeling
- Computer vision
- Deep learning
- State of the art computer vision
- Object detection
Reviews
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CChua Kok Tong
U didn't explain much how it work just showing step
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FFrank Underdown
The instructor spends the majority of his time moving file around, creating directories, unloading different versions of Tensorflow, etc. However, little time is actually spent on creating and deploying models for doing actual detection and localization of objects. Even though we are going to focus on transfer learning, very little time has been spent on going over the code. There are no opportunities on applying the code. Currently, I am looking at section 5 of 15 of the course. I hope thing improved. When I first downloaded the course, I watch the first 15 min of the course and then looked for another course that would actually teach object detection and localization. Very unhappy with the content of the course
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MMohammad Al Jazzar
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GGhaith
I'm kicking myself for spending the money on it; the accent is unclear, all of the content and more is accessible on YouTube with a better explanation, and the instructor does not respond to inquiries. Overall, it's basically re implementing some of the object detection lessons with the worst explanation!!
