208 - Multiclass semantic segmentation using U-Net
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
Видео 208 - Multiclass semantic segmentation using U-Net канала DigitalSreeni
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
Видео 208 - Multiclass semantic segmentation using U-Net канала DigitalSreeni
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