![]() ![]() Formatting the Imagesīefore training the model I decided to format the targets in order to create a way for the AI to better guess the location by turning the GPS coordinates into multi class targets, through formatting each number in the coordinate as a one hot array with numbers ranging one through ten. In order to download images from the Google Street View API latitude and longitude coordinates were needed, to solve this I utilized an address book from Open Addresses to get the latitude and longitude data of random street addresses for each of the 5 cities. ![]() To do this I wrote a python script ( get_images.py) to download a large set of photographs from 5 cities in the US from Google Street View API. In order to train the model I first had to create a reasonably large dataset of Google Street View images to train it on. The idea was inspired by the game GeoGuessr where the user is given a random Google Street View location and have to guess based on the Street View their location in the world. This project was done personally as an opportunity to learn more about CNN & RNNs by creating a ML Model that could reliably guess a random location in one of five US cities given only a Google Street View image.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |