Immersive Limit
In this course, you’ll learn how to create your own COCO dataset with images containing custom object categories. You’ll learn how to use the GIMP image editor and Python code to automatically generate thousands of realistic, synthetic images with minimal manual effort. I’ll walk you through all of the code, which is available on GitHub, so that you can understand it at a fundamental level and modify it for your own needs.
(Important: If you only want to do manual image annotation, this course is not for you. Google coco annotator for a great tool you can use. This course teaches how to generate datasets automatically.)
By the end of this course, you will:
Have a full understanding of how COCO datasets work
Know how to use GIMP to create the components that go into a synthetic image dataset
Understand how to use code to generate COCO Instances Annotations in JSON format
Create your own custom training dataset with thousands of images, automatically
Train a Mask R–CNN to spot and mark the exact pixels of custom object categories
Be able to apply this knowledge to real world problems
I’ve saved weeks of my precious time using this method because I’m not doing the tedious task of manual image labeling, which can easily take a full 40 hour work week to create 1000 images. You should value your time too. After all, how are you going to solve the world’s problems if you’re busy clicking outlines on images for the next couple weeks?
Instructor Details
Courses : 2
Specification: Complete Guide to Creating COCO Datasets
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17 reviews for Complete Guide to Creating COCO Datasets
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 4 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$12.99
Abhinay Reddy Yarva –
Excellent course
Ta Quoc Bao –
Good
Bob Shon –
awesome
Priyan Chandrapala –
Content is well organised, very current and relavent. Its also very well presented with clear examples and code explanations. Overeall very good and thank you !!
Matt –
Very good course. Best part is the explanation that Adam gives line by line of the code. It’s not something you get in a lot of other courses, but something that is essential for learning and grasping the processes at play. Thanks Adam!
Paulo Vila –
Very detailed and powerful
Lorenzo Leon –
great!
Ricardo Damian Illa –
Excelent! It was very clear and useful.
Radoslav Kochev –
The course teaches some very advanced image manipulation techniques, and it is doing so in around just 4 hours. The presentation of the teacher is great. Normally i got bored and don’t like watching videos a lot, i prefer reading, but this was great. I highly recommend you take this if syntetic datasets will be useful to you.
Gautham K –
Good course , easy to follow and run the code ourselves . Thank you for this awesome course.
Kejitan Dontas –
Video quality is bad
Hossein Chegini –
it was clear and precise. Thx
Mateus Reis –
Adam Kelly saved my life. He just did it. This course is not just about COCO datasets. It’s about getting Mask R CNN to work! Have you ever tried to figure out where are all the bugs associated with Mask R CNN? My man, He goes further than that. It’s about wanting to help others, and being willing to do it. It’s beaultful! Thank you so much man! As a sugestion for improvement, if that is possible, you could warn that the Mask R CNN training on the last section would take a long time shuahsuash Thanks man
Edik TV –
I’ve finished the course that’s why I wanna share my opinion about this with you. To be honest, the course is pretty usefull, author made a lot of things clear. BTW, I’m of the opinion that there are some extra information. I was skipping a lot of videos when we were creating dataset by hands and when the author was explaining how programms work. I wanted pretty fast create custom dataset to be able to work with YOLACT, MASK RCNN and something like that. Fortunatly, this course gave me what I wanted but it could be done faster. I suppose, I can make the same course which will have only 1 hour. Taking everything into a count, I wanna conclude that the course is great but I suppose you’ll skipping some parts like me.
minhah Saleem –
it was a great course. and since i was working on my vehicle detection with limited resources and less dataset in this pandemic, this helped me alot
Ben Consolvo –
I really enjoyed the course, but I found that the video quality was low. It was difficult to read the code during the video examples. This helps me with logo detection on webpages, and my goal is to use DETR to train/validate.
Prem V –
It will be helpful if you can show us the demo then and there how to install, where to install etc. for beginners it will be useful.