194 - Semantic segmentation using XGBoost and VGG16 imagenet as feature extractor
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
XGBoost documentation:
https://xgboost.readthedocs.io/en/latest/
Video by original author: https://youtu.be/ufHo8vbk6g4
Видео 194 - Semantic segmentation using XGBoost and VGG16 imagenet as feature extractor 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
XGBoost documentation:
https://xgboost.readthedocs.io/en/latest/
Video by original author: https://youtu.be/ufHo8vbk6g4
Видео 194 - Semantic segmentation using XGBoost and VGG16 imagenet as feature extractor канала DigitalSreeni
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