283 - What is Mask R-CNN?

283 What is mask RCNN -
CNN - Convolutional Neural Network​
R-CNN - Region-based Convolutional Neural Network​
Faster R-CNN - Faster Region-based Convolutional Neural Network​
Mask R-CNN - Mask (faster) Region-based Convolutional Neural Network​
Mask R-CNN is built using Faster R-CNN​
In addition to class label and bounding box, Mask R-CNN outputs an object mask. ​
Uses a trick called ROIAlign to locate relevant areas down to pixel level. ​

[@dantec.dagandanan3732]

Thanks! sir, I hope the next video will also show how to use yolo in tensorflow in object detection.

[@DigitalSreeni]

Thank you. Yolo is not on my calendar yet, but will look into it.

[@DeathlessLife786]

Thank You very much my Guru.I never got a chance to be lectured by anyone else like you. Thanks a lot...

[@kaushal.k6763]

You are a gift to a lot of people. Please keep up the good work

[@parmeshwarpatil5418]

Thank You my dear computer vision mentor. Finally, wait is over and more exciting to watch object detection series.

[@DigitalSreeni]

Enjoy!

[@mengyingzhang5210]

Thanks so much for keeping uploading so many interesting and helpful videos!!! ☺

[@RafiKhalil]

Most awaited video thank you Sir.!!

[@awaisahmad5908]

You are my best teacher.

[@DigitalSreeni]

Glad to hear that :)

[@jamesdavey459]

Amazing video. Thank you!!

[@shoky8622]

You made a mistake. Selective search is not NMS ( Greedy Non-maximum Suppression), in fact Faster RCNN use NMS in one of the steps. Selective search is an algorithm that use segmentation to create region proposals (It uses NMS in one of the steps, but it's not NMS) . You can google selective search to see how it operates.

[@吉宇哲]

Incredible explanation. Thanks😊

[@natalialidmarvonranke8475]

great video. Thank you

[@yoggita]

Thank you so much !!!!!!! 🙏

[@joachimheirbrant1559]

very good explained :)

[@mohammadyahya78]

Thank you very much. Hopefully you can make videos about graph neural network

[@ojaspatil2094]

One small doubt Sir, you said the issue with stride is that with a stride of 2 we consider 6 out of the 7 pixels which leads to loss of data. But wont padding easily solve this issue? or was it found that padding is inefficient in this case?

[@TheJumperer]

very well explained, thanks for your help buddy!

[@DigitalSreeni]

No problem 👍

[@abderrahmaneherbadji5478]

Thanks Mr. Sreeni. Please can you record videos about the DL framework "Caffe"

[@sinaasadiyan]

Great video, pls add chapters to videos.

[@SenouciSofiane-f2q]

Hello , thank u for the information of ur 3 vidéo for object detection mask-R CNN , can i text u for any information?

[@brunospfc8511]

Thank you, great video, i was needing exactly that, professor

[@DigitalSreeni]

Glad it was helpful!

[@mayaltaee2963]

Thanks sir for all your videos, please I hope you can make videos of Faster R-CNN for objects detection.

[@yoyomcg]

can you do one on getting started with pytorch?

[@adrianrs79]

Great Video, always really useful. One question Sir, when using Mask-R-CNN, do we always need to annotate the training data set to create and learn masks? or Mask R-CNN does it automatically?

[@Yaz71023]

Thanks for the wonderful explanation! Kindly, can you minimize your live window a bit so we can see the whole slides :)

[@DigitalSreeni]

I move the video based on what it covers. In this case, it was covering a couple of lines that the viewer should be able to interpret. But I do understand your point. Thanks

[@engynabil180]

Thanks sir for all your videos, i hope you make video of segmentation using conditional GAN or pix2pix GAN

[@karangujarati4589]

Sir, I am working with ultrasound video for median nerve segmentation. I tried YOLO for detection, but didn't much accuracy, can you suggest me some model ? Thank you.

[@biswanathsaha2208]

Finally