216 - Semantic segmentation using a small dataset for training (& U-Net)
What to expect when you perform semantic segmentation using small datasets (less than 100 images) and U-net architecture? Does augmentation help and how about transfer learning?
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...
To annotate images and generate labels, you can use APEER (for free):
www.apeer.com