DeepGlobe Road Extraction Challenge - Part 2: Data Ingestion

This video is part 2 of an end-to-end series on tackling the DeepGlobe Road Extraction Challenge using Deep Learning. We will continue from Part 1 and create a pipeline the automates data download process for this challenge. The dataset is publically hosted on Kaggle and we will use the Kaggle Public API for authenticating our credentials and downloading the dataset to our local project folder.
The topics covered in this tutorial are:
Clone git repository, authenticate using GitHub CLI, and prepare initial files.
Retrieve Kaggle API Token
Authenticate Kaggle account using Kaggle Public API
Download roads dataset from Kaggle Datasets repository
Streamline the data download workflow
Publish changes to GitHub repository
DeepGlobe Road Extraction Challenge: competitions.c...
#machinelearning #DeepGlobe #RoadExtraction #git #mlops #python #DVC #datascience #satelliteimagery #deeplearning #earthobservation #remotesensing