286 - Object detection using Mask RCNN: end-to-end from annotation to prediction

Описание к видео 286 - Object detection using Mask RCNN: end-to-end from annotation to prediction

Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...

All other code:
https://github.com/bnsreenu/python_fo...

This video helps you with end-to-end Mask RCNN project, all the way from annotations to training to prediction. Handling of VGG and Coco style JSON annotations is demonstrated in the video. Code is also made available for both approaches.

For this video, I've used the annotation tool from https://www.makesense.ai/

You can try other annotation tools like:
https://www.makesense.ai/
https://labelstud.io/
https://github.com/Doodleverse/dash_d...
http://labelme.csail.mit.edu/Release3.0/
https://github.com/openvinotoolkit/cvat
https://www.robots.ox.ac.uk/~vgg/soft...

coco weights can be downloaded from: https://github.com/matterport/Mask_RC...

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