How to train using Oxford5k and Paris6k
Budget: $10 – $11 CAD
I need an expert to explain how one can train a model using two famous datasets:
in this repository: https://github.com/filipradenovic/revisitop
In these datasets like Oxford5k or ROxford5k, I find the landmark images, and other images for that landmark. For ex, everything starting with all_souls correspond to the all_souls building. But when I see other images containign this tag, it contain people and indoor images which are possibly junk. In the gt files, I see the structure having, all_souls_1_query.txt, all_souls_1_good.txt, all_souls_1_ok.txt, all_souls_1_junk.txt and so on.
While training do we use all_souls_1_good.txt, all_souls_ok.txt and ignore the junk? and cannot use all_souls_1_query.txt?
A clear explanation is what I need. using code and a clear explanation.
Budget is $10.
in this repository: https://github.com/filipradenovic/revisitop
In these datasets like Oxford5k or ROxford5k, I find the landmark images, and other images for that landmark. For ex, everything starting with all_souls correspond to the all_souls building. But when I see other images containign this tag, it contain people and indoor images which are possibly junk. In the gt files, I see the structure having, all_souls_1_query.txt, all_souls_1_good.txt, all_souls_1_ok.txt, all_souls_1_junk.txt and so on.
While training do we use all_souls_1_good.txt, all_souls_ok.txt and ignore the junk? and cannot use all_souls_1_query.txt?
A clear explanation is what I need. using code and a clear explanation.
Budget is $10.