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211 - U-Net vs LinkNet for multiclass semantic segmentation Analytics Table
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About 211 - U-Net vs LinkNet for multiclass semantic segmentation
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Multiclass semantic segmentation using Linknet and how does it compare against unet Original paper on Unet: (2015) https://arxiv.org/pdf/1505.04597.pdf Original paper on Linknet: (2017) https://arxiv.org/pdf/1707.03718.pdf Can learn a bit more about backbone comparison here.... https://iopscience.iop.org/article/10.1088/1742-6596/1544/1/012196/pdf Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists 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/1HWtBaSa-LTyAMgf2uaz1T9o1sTWDBajU/view?usp=sharing To annotate images and generate labels, you can use APEER (for free): www.apeer.com Segmentation models library documentation: https://github.com/qubvel/segmentation_models
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