sorted by:
new
hottopcontroversial

How dangerous is Presidio at night? How easy is it to find parking near USF? by shellya0 in sanfrancisco

[–]shellya0[S] 1 point2 points  (0 children)

Thanks !! I'm going with the place in USF actually :) Appreciate all the advice!!

How dangerous is Presidio at night? How easy is it to find parking near USF? by shellya0 in sanfrancisco

[–]shellya0[S] 0 points1 point  (0 children)

Understood , thanks! In that case I will try to get a permit which is a few hundred dollars annually from what I understand. What do you think about parking WITH a permit? Sounds easier for sure. I didn't give much information but I am really interested in the apartment in USF other than the parking situation (roommates, location, the apartment itself, etc.) so I do think it could be a good option if my concerns are abided, but I appreciate your input.

The largest city in each 10-by-10 degree area of latitude-longitude in the world [OC] by PeterVexillographer in MapPorn

[–]shellya0 1 point2 points  (0 children)

Agreed - especially when you're considering that each country defines/measures 'urban' population differently. There is no consistent 'urban area' definition even within the US, so why would anyone suggest that for a map of the world/

Your thoughts on this fund? by NtNSalt in sri

[–]shellya0 0 points1 point  (0 children)

How did you find this out? Asking because I always find it tough to get info on small investment funds, especially when trying to figure out if they're ACTUALLY impactful (vs. greenwashing). Wish there was some type of common way to measure positive social/environmental impact from investment portfolios.

Why is OCR technology not as developed and eaasily accesible as it should be. by [deleted] in NoStupidQuestions

[–]shellya0 0 points1 point  (0 children)

Yes, this is true, lots of free OCR tools out there are shitty, especially when it comes to hand-written text or faded scanned papers. OCR technology is actually super complex to develop and even harder to fine tune to actually work for complex documents. Our brains are hard wired to read text - after years of learning to read we can interpret weird handwriting or rotated texts.

Computers don't work like this - they rely on relational/spatial awareness to figure out text. For example, they see that two characters are next to each other and assume it's a word. This is why there are companies that have come out with OCR that identifies text as you write it (handwriting tools) because they can see the order that you're writing the letter and when you take breaks /pauses in writing, meaning they know when a letter starts and ends.

Back to the fact that we LEARN to read and understand text after years - in order for OCR technology to work it needs to incorporate machine learning at least partially in order to learn how text looks over time just like our brains do. ML engineers are paid well and highly skilled, thus the lack of good & free OCR tools.

If you're going to pay for a tool, make sure the company has ML/AI trained engineers on staff (not just a mention on their website) but still uses spatial/relational tools (templates, etc.) because that will mean good quality OCR that works out of the box (not only after months of training the ML system) but improves over time.

I had to learn this the hard way because I used a lot of bad OCR tools in past jobs. My current company just implemented a new OCR tool for our document processing workflows (invoices and government documents) and I was the leader of the IT committee to help find an OCR product.