214 - Improving semantic segmentation (U-Net) performance via ensemble of multiple trained networks

Improving semantic segmentation (U-Net) performance via ensemble of multiple trained networks.
ResNet34 + Inception V3 + VGG16

If you get an error while loading Segmentation models library, please follow these steps to fix the issue: Python tips and tricks - 6: Fixing ge...

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

The dataset used in this video can be downloaded from the link below. This dataset can be used to train and test machine learning algorithms designed for multiclass semantic segmentation. Please read the Readme document for more information.
https://drive.google.com/file/d/1HWtB...


To annotate images and generate labels, you can use APEER (for free):
www.apeer.com

Segmentation models library documentation:
https://github.com/qubvel/segmentatio...

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