advaitsave · boguss1225 · Aug 19, 2020 · Aug 19, 2020 · Oct 30, 2020 · Oct 30, 2020
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_16.ipynb b/Multiclass_Semantic_Segmentation_using_FCN_16.ipynb
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_16.py b/Multiclass_Semantic_Segmentation_using_FCN_16.py
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_32.ipynb b/Multiclass_Semantic_Segmentation_using_FCN_32.ipynb
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_32.py b/Multiclass_Semantic_Segmentation_using_FCN_32.py
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_8.ipynb b/Multiclass_Semantic_Segmentation_using_FCN_8.ipynb
diff --git a/Multiclass_Semantic_Segmentation_using_FCN_8.py b/Multiclass_Semantic_Segmentation_using_FCN_8.py
diff --git a/Multiclass_Semantic_Segmentation_using_U-Net.ipynb b/Multiclass_Semantic_Segmentation_using_U-Net.ipynb
diff --git a/Multiclass_Semantic_Segmentation_using_U-Net.py b/Multiclass_Semantic_Segmentation_using_U-Net.py
diff --git a/Multiclass_Semantic_Segmentation_using_VGG_16_SegNet.ipynb b/Multiclass_Semantic_Segmentation_using_VGG_16_SegNet.ipynb
diff --git a/README.md b/README.md
@@ -1,5 +1,16 @@
-# Multiclass Semantic Segmentation using Tensorflow 2 GPU on the Cambridge-driving Labeled Video Database (CamVid)
+# Multiclass Semantic Segmentation using Tensorflow 2 GPU
 
-This repository contains implementations of multiple deep learning models (U-Net, FCN32 and SegNet) for multiclass semantic segmentation of the CamVid dataset
+This repository contains implementations of multiple deep learning models (U-Net, FCN32, FCN16, FNC8 and SegNet) for multiclass semantic segmentation of the annotated mouse brain atlas dataset
 - Implemented tensorflow 2.0 Aplha GPU package
 - Contains generalized computer vision project directory creation and image processing pipeline for image classification/detection/segmentation
+
+This repository is used to develop brain atlas from confocal scan image of mouse brain.
+- This code generated below result
+
+![Result](https://github.com/boguss1225/Multiclass-Semantic-Segmentation-CamVid/blob/master/screenshots/result1.jpg)
+
+The added code enabled this to generate various evaluation metrics
+- ROC curve
+- Precision Recall curve
+- Dice-coefficient score
+- Precision & Recall for each epochs
diff --git a/Segmentation_functions.py b/Segmentation_functions.py
diff --git a/camvid_model_150_epochs.h5 b/camvid_model_150_epochs.h5
diff --git a/camvid_model_150_epochs_checkpoint.h5 b/camvid_model_150_epochs_checkpoint.h5