Image Segmentation, Semantic Segmentation, Instance Segmentation, and Panoptic Segmentation

[@LearnOpenCV]

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[@mikepelton3887]

Panoptic Segmentation's a new one on me (and I've been around this domain for a loooong time) so... many thanks!

[@mustafasertkaya4622]

Nice video, this videos help me to understand how much our eye system is designated well.

[@roy11883]

Thanks for a quick and succinct explanation of different types of segmentation. In this specific example, should the different trees also be marked differently using panoptic segmentation i.e. whether instance segmentation also occurs for background trees as well??

[@sovitrath4735]

Hello Ananda. In the image shown in this video, the section showing the tree was considered as one object. That's why no separate instances were shown for it. Hope this helps.

[@alirezabarghgir2481]

Thanks a lot

[@LearnOpenCV]

You're welcome! :)

[@jayanthv2505]

Tq It helped a lot

[@Priya_dancelover]

Crystal clear

[@xXMaDGaMeR]

thank you, very clear and precise explanation

[@LearnOpenCV]

You are welcome!

[@amvs7460]

Good explanation

[@adiai6083]

Nice explanation...

[@bearlight2846]

thank you

[@sanjayghanagiri5492]

This is nice to get started. I guess in few days yolov5 will support segmentation.

[@zyk4964]

thanks for quick explanation

[@LearnOpenCV]

Hey! Glad you liked it

[@michaelcurious]

Thank you!

[@vigneshvicky6720]

Tq

[@adiai6083]

Sir make videos on object tracking using deep sort algorithm..

[@LearnOpenCV]

Thanks for the suggestion.

[@CoolHarshyaa]

Hello sir, i am trying image segmentation using yolov5 but it giving bounding box along with segmentation

[@LearnOpenCV]

Could you please elaborate on the query? Check out this blog post to understand more about YOLOv5 instance segmentation: learnopencv.com/yolov5-instance-segmentation/

[@vivekgangurde9685]

Sir i want to classify image by human structure such as America football formation structure which annotations should i use can help out for this

[@LearnOpenCV]

Label annotation should be sufficient for image classification problems.

[@smiley2511]

Sir using ar vr we can do this project pls .do one vedio on it

[@Linufinancialadvice]

Dung iong i ham a lad, pait tang u tpu sain leh da ieng khiaw hi

[@labr2386]

where code?! ;)

[@LearnOpenCV]

Sorry, this video is only about the concept. But here is some code you can use *Semantic Segmentation* (pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/). *Instance Segmentation* (pytorch.org/vision/stable/_modules/torchvision/models/detection/mask_rcnn.html) *Panotic Segmentation* (github.com/bowenc0221/panoptic-deeplab)

[@kartikpodugu]

Didn't understand clearly Image Segmentation here.

[@LearnOpenCV]

Check out the blog post to get more in-depth knowledge. learnopencv.com/image-segmentation/ Image Segmentation can be understood as grouping pixels of similar colour and texture. For example, a coin kept on the table will have a circular segment tracing the circumference, but it can also have a segment of a (possible) emblem on the coin. Hope this helps!

[@NatesNotes471]

Sir how can panopticon segmentation aid in autonomous vehicle cybersecurity?