In this video we will learn "How to Train Custom dataset with Mask RCNN"
Step 1:
Collect data and divide them for train and validation.
You can get sample from my prepared dataset.
https://drive.google.com/open?id=1WSw...
Step 2:
We need to make labeling for all images. For this
you can use online labeling tool
http://www.robots.ox.ac.uk/~vgg/softw...
After downloading annotated file and json data we will start training
Step 3:
You will get file here.
https://github.com/AISangam/Mask-RCNN...
Now run this command
python bottle.py train --dataset=/home/datascience/Workspace/MaskRCNN/Mask_RCNN-master/samples/bottle/dataset --weights=coco
As a thesis project you can get it easily from us.
Website:
http://www.aisangam.com/
http://www.aisangam.com/blog/
http://finalbtechproject.com/
For more Queries or any help visit us at:
https://www.aisangam.com/
Or you can directly mail us at :
[email protected]
Thanks..
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