# Computer Vision for International Border Legibility - Supplemental Materials
#### Folder Layout:

###### Border_Legibility_Supplemental.pdf
The supplementary writing for our paper.

###### AMT-Instructions.pdf 
Worker instructions given to our Amazon Mechanical Turk (AMT) annotators to help understand the border legibility task.

###### Rankings/
The folder location for our HTML files which contain 1,000 images of our test set ordered from most legible to least legible for each method. Method names follow the notation from our main paper (e.g R-2-Distance stands for CNN-Layer 2-Average Feature Cosine Distance).