<p>UNet is absent from the <a href="https://www.cityscapes-dataset.com/benchmarks/#scene-labeling-task" rel="nofollow noreferrer">benchmark</a> so i assume it is not adapted for this dataset (too slow and not enough performant probably). However, I advise you to start with <a href="https://arxiv.org/abs/1802.02611" rel="nofollow noreferrer">DeepLabv3+</a> from Google which is not so complicated and more adapted for this dataset.</p>
<p>You can use this <a href="https://github.com/bonlime/keras-deeplab-v3-plus" rel="nofollow noreferrer">repository</a> where it is implemented, well documented and useable with pretrained weights from cityscape dataset (and also <a href="http://host.robots.ox.ac.uk/pascal/VOC/" rel="nofollow noreferrer">PascalVOC</a> dataset).</p>
need guidance on using pre-trained weights in segmentation_models API
<p>I want to use a pre-trained Unet model using <a href="https://segmentation-models.readthedocs.io/en/latest/api.html" rel="nofollow noreferrer">segmentation_models</a> API for the <a href="https://www.cityscapes-dataset.com/" rel="nofollow noreferrer">Cityscapes</a> dataset, but I need the pre-trained weights for the same. Where can I find the pre-trained weights for a Unet model trained on the Cityscapes dataset?</p>
<p>Please guide me on this!!!</p>