Google Landmark Recognition Challenge from Kaggle

This is final capstone project for Machine Learning Nanodegree Program from Udacity.

Please note that train.csv, test.csv and sample_submission.csv are not included in the submission due to size limitation. These three files are available from the Google Landmark Recognition Competition.

The downloaded image files are not submitted due to file size limitation. If needed, please see code in Landmark_Download.html.

** Python version: 3.6

File Description

• project_proposal.pdf: Project proposal document
• capstone_report_r1.pdf: Final capstone project report
• Landmark_Recognition-R9.html: Main Jupyter notebook code for the capstone project
• Landmark_Download.html: Jupyter notebook code for downloading landmark images
• Move_files.html: Jupyter notebook code for moving downloaded images to validation and testing folders
• train_sample.csv: Dataset for this project produced by main code. Reduced dataset from the original competition.

You can view the Landmark_Recognition-R9.html in HTML by clicking here.

You can view the Landmark_Download.html in HTML by clicking here.

You can view the Move_files.html in HTML by clicking here.