Image annotation using COCO Annotator

Do you need a custom dataset in the COCO format? In this video, I show you how to install COCO Annotator to create image annotations in COCO format.
0:00 - Introduction
0:32 - Installation
1:35 - Creating a Dataset
2:56 - Annotating Data
3:42 - Exporting Annotations
COCO Annotator: github.com/jsbroks/coco-annot...
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Github: github.com/jsbroks

[@brandonman94]

Thanks a million for this. A lot of online readmes and guides just kind of gloss over how this works. This was really, really helpful!

[@ArunMPEdison]

I have tried going through it, except for the DXTER, it worked for the most part. Especially the drawing instead of points/dot click, makes the annotation little more artistic, entertaining and an interesting work. Thank you for the creators and without this video, I wouldn't have tried this. Thank you for the docker and the video walk through, which make identifying some of the dataset location easier, being new to this.
In Mac, the zoom was little annoying, I wish the pinch gestures worked! The two finger zoom is usually used for drag and drop in mac, so that habit conflicts the unexpected zoom in the interface.
Its also amazing with the html/js interface, its able to get this high res, small dots, which you can adjust, to the most part, some of them are not clickable, I think thats a bug to be fixed.
Also, a second part of the video could cover, some of the advanced/common annotation challenges of object overlap (cat on dog image), and should we erase before annotating the second one etc. are unclear.

[@alvarojanioravichaguavitor408]

Excelente herramienta, gracias!!

[@HI_YT66]

Thanks,
very helpful!

[@ArunMPEdison]

Thank you for this great video Justin, it was well presented efficiently and fluently (subscriber +1). I had one question, I am new to annotation but was trying to do one from scratch, is this the best tool in the market, if I am looking for speeding up the annotation alone on 300-1000 images, my objective is to crop out the ROI and I am looking for a perfect edge, so as in this example, if I want to save only the tyres with perfect edges, is that is driven by the accuracy of annotation or is it dependent on the training model algorithm?
Few other examples or comparison on annotation was DEXTR allows efficiently picking up edges for extreme cut better than effort on labelme. I have seen something similar with supervision. End of the day coco is more effective for instant segmentation and PixelLib was also helping to simplify training the model for beginners.
Can you also comment on any of these tools in comparison, if you're familiar with it and recommend, which would be the best set of tool for the use case?

[@drallisimo34]

cool tut!!!

[@AnantVemuri]

Hi Justin, I was wondering how could I export the annotations as segmentation masks, for example to train a unet.

[@emmanuelkoupoh7979]

Hi, thanks for your tool. There is a problem with keypoints annotation ?

[@josemarianofernandez7783]

can you make tutorial how to deploy it to a domain so that we can access it thru URL?

[@dailyeventph275]

whats the outcome for this is it bounding box? thanks

[@611paladin]

0:48
I am using Windows 10 Home edition with Docker 4.1,
and the COCO annotator is running perfectly.

[@amankothari5508]

How did you do it..
dockor-compose up is showing me error

[@alphonseinbaraj7602]

Why annotation tool is disabled for me ?? I dont know why

[@vinikagupta5050]

I am installing it on my mac and it gets stuck at docker-compose up showing --> annotator_message_q | missed heartbeats from client, timeout: 60s

[@robwarner2070]

me too. Did you fix this?

[@venkatakhil2082]

When you get that error minimizes cmd and go to docker desktop and open coco-annotator container and run webclient on browser
It works!!

[@yashiverma5451]

my dataset images are not loading in the web app, its showing an error, Can you please help me out

[@nihaanthbillakanti8655]

how much time it takes for installation ?

[@xtian_neuralx]

About 5 min to download and install Docker app and another 2 min the Coco-Annotator (I have Windows OS). But in general, I think, it depends of your speed internet conection and your computer specs

[@alphonseinbaraj7602]

I tried to use this tool to annotate. But that annotate tools are disabled ..Why ? So i cant ..Please help me.. Really sad

[@bliss766]

you first need to add the category to the dataset. then when you opn the image, on the rhs you will see the category with "+" once you click that all annotation tools are enabled

[@phoenix1799]

How to add keypoints?

[@user-oq9fr6hj6k]

How start coco annotator after install?

[@angelceballos8714]

after installing it will run automatically, just type on the terminal "docker ps" and see in what port its running. For me it was 5000 so you just go to your browser and type localhost:5000