210 - Multiclass U-Net using VGG, ResNet, and Inception as backbones

Multiclass semantic segmentation using U-Net with VGG, ResNet, and Inception as backbones. 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... Segmentation models library documentation: https://github.com/qubvel/segmentatio... To annotate images and generate labels, you can use APEER (for free): www.apeer.com