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Nicely done! This is a great idea! I hope those photos from the 30s are digitized so they can receive the same treatment
Earlier quoted context omitted.
Not that I know of. Without some way of knowing where and when they're from, I'm not sure how useful the data would be. It'd make an interesting project. During WWII the UK government (maybe the US? I'm unable to find a reference but the search terms are pretty generic) requested pictures and postcards from people who'd taken recent trips into Europe. They wanted them for intelligence reasons - I think it was the UK.…
> But, it seems like it'd be a large pile of data and work. Unless they knew when and where they came from, I'm not sure how much value they'd have - other than aesthetics. You're right, its a huge pile of work. Without the geotag and temporal EXIF data, you're relying on machine vision/structure from motion (think https://mapillary.com ) to rebuild 3D scenes solely from image data. https://help.mapillary.com/hc/en-u…
But... If it had some initial training done by hand, and by people including what dates and locations they know, maybe it could work backwards? It'd still end up being a HUGE amount of data and the compute power for that would probably be obscene.
Which, of course, means I think it's an excellent idea and that someone should do this. I can't even begin to imagine the costs. This might just be the best idea ever, or the worst.
Seems that there would be quite a bit of historical value to getting everyone to digitize their personal photos and upload them to a shared repository. Has there already been such an effort?
http://www.freep.com/story/entertainment/movies/2017/02/13/d...
Earlier quoted context omitted.
> But, it seems like it'd be a large pile of data and work. Unless they knew when and where they came from, I'm not sure how much value they'd have - other than aesthetics. You're right, its a huge pile of work. Without the geotag and temporal EXIF data, you're relying on machine vision/structure from motion (think https://mapillary.com ) to rebuild 3D scenes solely from image data. https://help.mapillary.com/hc/en-u…
When I typed my reply, I briefly considered if AI/ML/NN might help but then I thought about it. I don't think there will be enough training data and I suspect that existing reference points would be vastly different, and made even more difficult to use by the lack of resolution. But... If it had some initial training done by hand, and by people including what dates and locations they know, maybe it could work backwar…
http://80s.nyc/#show/40.8265/-73.9080
http://80s.nyc/#show/40.8107/-73.9180
http://80s.nyc/#show/40.8188/-73.9217
http://80s.nyc/#show/40.8229/-73.9167
http://80s.nyc/#show/40.8102/-73.9194
http://80s.nyc/#show/40.8152/-73.9165
All of those rent-control incentivized arsons... empty lots with garbage everywhere... dogs running around with no owners visible.
Edit: correction, while rent-control played a big role in Brooklyn's housing abandonment rate, South Bronx faced a variety of factors in addition to rent control:
> For example, housing abandonment in the South Bronx, probably the most devastated area in the entire city, can be plausibly related to the economics of an obsolete housing stock. The area was one of the most densely populated in the country in the 1940s and 1950s, and the housing stock consists almost entirely of five- and six-story walkups. As population density decreased, fifth- and sixth-story walkup apartments became unrentable at prices sufficient for sound building maintenance, irrespective of rent controls. Arson eventually became the owners' only financially rewarding alternative.
http://www.crainsnewyork.com/article/20100610/BLOGS01/306109...
The South Bronx really was a war-zone. http://80s.nyc/#show/40.8265/-73.9080 http://80s.nyc/#show/40.8107/-73.9180 http://80s.nyc/#show/40.8188/-73.9217 http://80s.nyc/#show/40.8229/-73.9167 http://80s.nyc/#show/40.8102/-73.9194 http://80s.nyc/#show/40.8152/-73.9165 All of those rent-control incentivized arsons... empty lots with garbage everywhere... dogs running around with no owners visible. Edit: correction, whil…
The South Bronx really was a war-zone. http://80s.nyc/#show/40.8265/-73.9080 http://80s.nyc/#show/40.8107/-73.9180 http://80s.nyc/#show/40.8188/-73.9217 http://80s.nyc/#show/40.8229/-73.9167 http://80s.nyc/#show/40.8102/-73.9194 http://80s.nyc/#show/40.8152/-73.9165 All of those rent-control incentivized arsons... empty lots with garbage everywhere... dogs running around with no owners visible. Edit: correction, whil…
The South Bronx really was a war-zone. http://80s.nyc/#show/40.8265/-73.9080 http://80s.nyc/#show/40.8107/-73.9180 http://80s.nyc/#show/40.8188/-73.9217 http://80s.nyc/#show/40.8229/-73.9167 http://80s.nyc/#show/40.8102/-73.9194 http://80s.nyc/#show/40.8152/-73.9165 All of those rent-control incentivized arsons... empty lots with garbage everywhere... dogs running around with no owners visible. Edit: correction, whil…
Another perspective on the rash of South Bronx arsons is that it was caused by bad data science. See story here: http://nypost.com/2010/05/16/why-the-bronx-burned/
The fires ended up ruining entire neighbourhoods due to the poor city response times, but the simple fact is many of them were started due to landlord arson or from poor property maintenance by the owners.
The South Bronx really was a war-zone. http://80s.nyc/#show/40.8265/-73.9080 http://80s.nyc/#show/40.8107/-73.9180 http://80s.nyc/#show/40.8188/-73.9217 http://80s.nyc/#show/40.8229/-73.9167 http://80s.nyc/#show/40.8102/-73.9194 http://80s.nyc/#show/40.8152/-73.9165 All of those rent-control incentivized arsons... empty lots with garbage everywhere... dogs running around with no owners visible. Edit: correction, whil…
One of the most stunning parts of the movie Koyaanisqatsi are the demolition of builds in the South Bronx (I'm pretty sure they're there, can someone confirm?). And, the scenes from the movie Wolfen look very similar to the above scenes.
First thing I noticed was the ReactJS favicon...