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Introduction to Object Detection using Transformers (2020)

Learn about Facebook's new DETR method, which uses Transformers to achieve efficient Object Detection
5.0
5.0/5
(1 reviews)
1 students
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9.0

CourseMarks Score®

9.3

Freshness

10.0

Feedback

7.1

Content

Platform: Udemy
Video: 30m
Language: English
Next start: On Demand

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CourseMarks Score®

9.0 / 10

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Freshness Score

9.3 / 10
This course was last updated on 11/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

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10.0 / 10
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Content Score

7.1 / 10
Video Score: 7.6 / 10
The course includes 30m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 3 hours 13 minutes of 16 Object Detection courses on Udemy.
Detail Score: 8.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

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Table of contents

Description

In this course, you will learn about DETR technique which offers a much simpler and a more flexible pipeline architecture that requires fewer heuristics. It is the first object detection framework to successfully integrate Transformers as a central building block in the detection pipeline. DETR matches the performance of state-of-the-art methods, such as well established and highly optimized Faster R-CNN baseline on challenging COCO object detection dataset, while also greatly simplifying and streamlining the architecture.

You will learn

✓ Object Detection using Facebook’s new efficient technique
✓ Application of Transformers in Object Detection
✓ DETR architecture

Requirements

• Basic knowledge of python programming
• Basic Understanding of Neural Network

This course is for

• Beginner Python Developer who want to learn Object Detection

How much does the Introduction to Object Detection using Transformers (2020) course cost? Is it worth it?

The course costs $199.99.
The average price is $23.9 of 16 Object Detection courses on Udemy.

Does the Introduction to Object Detection using Transformers (2020) course have a money back guarantee or refund policy?

YES, Introduction to Object Detection using Transformers (2020) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

At the moment we could not find an available scholarship for Introduction to Object Detection using Transformers (2020).

Who is the instructor? Is Nandlal Talreja a SCAM or a TRUSTED instructor?

Nandlal Talreja has created 1 courses that got 1 reviews which are generally positive. Nandlal Talreja has taught 1 students and received a 5.0 average review out of 1 reviews. Depending on the information available, Nandlal Talreja is a TRUSTED instructor.
Professional Freelancer
I am a professional freelancer and have years of experience as a professional trainer for emerging technologies. I have interest in various field such as Data Science, Artificial Intelligence, Big Data, IoT and Quantum Computing. Over the course of my career, I have developed skill set in lot of diverse technologies and hopes to use my experience in teaching to help other people learn the power of technology.

9.0

CourseMarks Score®

9.3

Freshness

10.0

Feedback

7.1

Content

Platform: Udemy
Video: 30m
Language: English
Next start: On Demand

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