I need an expert to explain how one can train a model using two famous datasets:
in this repository: [login to view URL]
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, [login to view URL], [login to view URL], [login to view URL], [login to view URL] and so on.
While training do we use [login to view URL], [login to view URL] and ignore the junk? and cannot use [login to view URL]
A clear explanation is what I need. using code and a clear explanation.
Budget is $10.
Hi.Client...
Nice to meet you.
I saw your project details carefully.
Thanks for your posting.
I am expert in Machine Learning and Deep Learning using python and Matlab.
I am working in this this field for 5 years.
I think that I can complete your project perfectly.
It is my pleasure to work with you.
If you will give me a chance to work with you, you will get satisfied result and I will do my best for you.
Thanks and Regards.