Semantic Segmentation of 150 Classes of Objects With 5 Lines of Code

It is now possible to perform segmentation on 150 classes of objects using ade20k model with PixelLib. Ade20k model is a deeplabv3 model trained on ade20k dataset, a dataset with 150 classes of objects. It is now possible to perform segmentation on 150 classes of objects using ade20k model with PixelLib. Ade20k model is a deeplabv3 model trained on ade20k dataset, a dataset with 150 classes of objects. Thanks to tensorflow deeplab's model zoo, I extracted ade20k model from its tensorflow model checkpoint.