README.md

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Datasets

Roxford5k: https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/

Rpairs6k: https://www.robots.ox.ac.uk/~vgg/data/parisbuildings/

R1M: http://ptak.felk.cvut.cz/revisitop/revisitop1m/jpg/

Python

Tested with Python 3.7 on CentOS.

Extract features

Evaluate results

Example script that describes how to evaluate according to the revisited annotation and the three protocol setups:

>> python3 example_evaluate.py

The final output should look like this (depending on the selected test_dataset):

>> roxford5k: mAP E: 84.81, M: 64.67, H: 38.47
>> roxford5k: mP@k[ 1  5 10] E: [97.06 92.06 86.49], M: [97.14 90.67 84.67], H: [81.43 63.   53.  ]

or

>> rparis6k: mAP E: 92.12, M: 77.2, H: 56.32
>> rparis6k: mP@k[ 1  5 10] E: [100.    97.14  96.14], M: [100.    98.86  98.14], H: [94.29 90.29 89.14]

Reference

https://github.com/filipradenovic/revisitop

Related publication

@inproceedings{RITAC18,
 author = {Radenovi\'{c}, F. and Iscen, A. and Tolias, G. and Avrithis, Y. and Chum, O.},
 title = {Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking},
 booktitle = {CVPR},
 year = {2018}
}