Thats a fantastic idea, and yes my goal is to be as descriptive as possible with every item, including country of origin, it just amounts to me putting in the work to do research on every item, Im willing to do it and I hope it can be useful to more users soon!
Oh I see, well I definitely see the value in those spaces, Im kind of interested in the idea of archiving anything thats out there so that maybe people can realize all the cool clothes thats already been produced rather than looking to the new stuff thats coming out.
We're hosting the photos on S3 currently, only around 30K photos currently and the cost of S3 is dependent on how frequently they are accessed (how often users load a specific photo). If I recall correctly our S3 bill last month was around 3 dollars but we don't have very many users. I'm sure its not scalable if we had tons of photos and tons of users but I think I'm just crossing that bridge if I ever get there
Pretty much, except from my experience Pinterest focuses on the image and maybe its source rather than the actual item of clothing and features of that item.
With user submitted (basically my friends and I so far) clothing info and images from other websites. Also an initial webscrape helped us with some initial DB population.
As someone who loves fashion and clothing, I wanted a place (that wasn't a marketplace for once) where I could look at clothes and keep track of stuff that I wanted and owned. The big dream is to have any piece of clothing that exists in the database. Feel free to submit items!
I live in NYC right now, while it is tempting, I'm still pretty young and like being around my friends (who all still live here) and with things opening back up slowly its becoming possible to hang out with people again. Because of this I really see no reason moving. I totally see the value in moving back home and saving an arm and a leg on rent but I guess it just depends on your lifestyle.
In my experience my professors always referenced Hastie, Tibshirani, Freeman, The Elements of Statistical Learning to be the reference for most of the tasks you would need to perform as a data scientist. For an AI/ML researcher Murphy is probably more comprehensive.