Label Images for Semantic Segmentation using VGG Image Annotator

Published: 20 June 2021
on channel: Idiot Developer
14,270
167

This video will learn how to use the VGG Image Annotator tool designed by the Visual Geometry Group from Oxford University. The tool takes the input image and then we use the different shapes like square, circle, ellipse, etc., to annotate the image. After all the images are annotated, we save the project and we get all the information about the annotation in a JSON file. Here, In this video, we will learn to extract the annotation information from the JSON file and convert it to proper png masks.

Code: https://github.com/nikhilroxtomar/VGG...

VGG Image Annotator: https://www.robots.ox.ac.uk/~vgg/soft...

Support:
   / @idiotdeveloper  
https://www.buymeacoffee.com/nikhilro...

Follow Me:
BLOG: https://idiotdeveloper.com https://sciencetonight.com
FACEBOOK:   / idiotdeveloper  
TWITTER:   / nikhilroxtomar  
INSTAGRAM: https://instagram/nikhilroxtomar
PATREON:   / idiotdeveloper  

My Gears:
Intel i5-7400: https://amzn.to/3ilpq95
Gigabyte GA-B250M-D2V: https://amzn.to/3oPuntd
ZOTAC GeForce GTX 1060: https://amzn.to/2XNtsxn
LG 22MP68VQ 22 inch IPS Monitor: https://amzn.to/3soUKs5
Corsair VENGEANCE LPX 16GB: https://amzn.to/2LVyR2L
WD Green 240 GB SSD: https://amzn.to/3igt1Ft
1TB WD Blue: https://amzn.to/38I6uhw
Corsair VS550 550W: https://amzn.to/3nILHi3
Zebronics BT4440RUCF 4.1 Speakers: https://amzn.to/2XGu203
Segate 1TB Portable Hard Disk: https://amzn.to/3bF8YPG
Seagate Backup Plus Hub 8 TB External HDD: https://amzn.to/39wcqtj
Maono AU-A04 Condenser Microphone: https://amzn.to/35HHiWC
Techlicious 3.5mm Clip Microphone: https://amzn.to/3bERKSD
Redgear Dagger Headphones: https://amzn.to/3ssZNYr


Watch video Label Images for Semantic Segmentation using VGG Image Annotator online without registration, duration hours minute second in high quality. This video was added by user Idiot Developer 20 June 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 14,270 once and liked it 167 people.