Skip to content

Landmark detection and recognition using Google's Landmark Detection V2 dataset. This dataset contains 5 million images, split into directories, and a train.csv.

Notifications You must be signed in to change notification settings

N3haS/Landmark-detection-py

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 

Repository files navigation

Landmark-detection-py

Landmark detection and recognition using Google's Landmark Detection V2 dataset. This dataset contains 5 million images, split into directories, and a train.csv. Since it is impossible for my computer to be able to train a model for the galore images present, the code takes very few images from three directories.

To download the images, follow https://s3.amazonaws.com/google-landmark/train/images_000.tar this convention. You may even download 104, 056, dpending on your personal preference.

Examplar images would be: image

About

Landmark detection and recognition using Google's Landmark Detection V2 dataset. This dataset contains 5 million images, split into directories, and a train.csv.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published