Label Images for Semantic Segmentation using VGG Image Annotator
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- เผยแพร่เมื่อ 4 ก.ย. 2024
- 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.
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VGG Image Annotator: www.robots.ox....
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You are the best....
Nice sir..
Hey i have been visiting your videos very frequently lately and they have helped me a lot so thankyou for making them :)
Just wanna ask how can mask be generated when used polygon tool of vgg image annotator to annotate multiple regions in the same image in json format?
Very good question :) I am also eager to know the answer.
Hey I have a similar problem to tackle
I have a multiclass segmentations in a json format, I need to convert it to multiclass labelled png masks, can you guide me for same??
What is mean the "VGG"? I followd but I did not see where VGG is used. Thank you.
VGG refers to the Visual Geometry Group
How you prepare the json file having image properties?
why is it giving key error?
can we annotate PDF file for instance segmentation ?
Lee Timothy Perez Susan Thompson Mark
Lee Matthew Lee Deborah Brown Scott
Anderson Brian Robinson William Lee Robert
Lewis Sandra Williams Brian Wilson Sandra
KeyError cx