├── DNN_EM_Pytorch.ipynb ├── Final Project Report.pdf ├── ML-Presentation-Rui-Hu.pdf ├── README.md ├── SVM_RF_EM_Segmentation.ipynb ├── U_Net_EM_aug_Keras_TPU.ipynb ├── U_Net_EM_aug_Pytorch.ipynb └── data.txt /Final Project Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ruihu-zoey/Image-Segmentation/46814d066f17d5f6cb49cb9eb098ae6e8b282289/Final Project Report.pdf -------------------------------------------------------------------------------- /ML-Presentation-Rui-Hu.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ruihu-zoey/Image-Segmentation/46814d066f17d5f6cb49cb9eb098ae6e8b282289/ML-Presentation-Rui-Hu.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Image-Segmentation 2 | First of all, upload the [dataset](https://drive.google.com/drive/folders/1RYIVtrscMG64-y5hVQw8viYUiQZasuaG?usp=sharing) into your google drive. 3 | Then, 4 | * [Using SVM and Random Forest](https://github.com/ray-hu/Image-Segmentation/blob/master/SVM_RF_EM_Segmentation.ipynb) 5 | * [Using DNN (SegNet and Unet)](https://github.com/ray-hu/Image-Segmentation/blob/master/DNN_EM_Pytorch.ipynb) 6 | -------------------------------------------------------------------------------- /data.txt: -------------------------------------------------------------------------------- 1 | https://drive.google.com/drive/folders/1OINcz0cgvcZjOkRL3egL8va999wv7wKI?usp=sharing 2 | --------------------------------------------------------------------------------