Skip to content

Latest commit

 

History

History
84 lines (52 loc) · 2.78 KB

README.md

File metadata and controls

84 lines (52 loc) · 2.78 KB

MLND-Capstone-Project

Iceberg Classifier

This is a repository for the capstone project going on in Udacity. The project received data from Statoil/C-CORE Iceberg Classifier Challenge at the Kaggle Competitoin. The project goal is to distinguish between iceberg and ship from SAR image data from satellites. For this, deep learning will be conducted using CNN model.

Software and Libraries

  • Python 3.54
  • Jupyter Notebook
  • Tensorflow
  • Keras
  • Numpy
  • Matplotlib

Datasets

The datasets are hosted in a Kaggle competition. Please download data from the link provided.

This following link contains both train(train.json.7z) and test(test.json.7z) data. https://www.kaggle.com/c/statoil-iceberg-classifier-challenge/data

3D image samples for the training data

Iceberg

Iceberg

Ship

Ship

iPython Notebooks

Final Model I proposed

Transfer Learning Model

VGG16model

Example Results

sample results

Model Evaluation

model accuracy

model loss