Facebook machine learning technology improves; Redditors alaramed.
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Re: Facebook machine learning technology improves; Redditors alaramed.
#2According to a redditor,
"
- It's not IP address. Facebook successfully identified a number of specific locations (bars, theaters, etc) even though I had uploaded the photos from my home
- It's not geo-tagging. All of my photos were taken with a camera that does not geo-tag (Nikon d700).
- It's not contextual tagging. There were no people tagged in the photos, no comments in a lot of them, no words or phrases or names in the captions that could have given clues
- It's not image recognition. One set of photos was taken at Cafe du Nord in SF, CA and every single shot was of the performer onstage, with no identifying characteristics or clues to be had.
"
I would really like to know as this is very interesting and none of the reddit comments (as of now, 12 hours after submission) really answer this question. What technology or methods are they using to suggest (accurate?) locations where pictures have been taken from?
Even more strangely, I have never used my mobile phone with Facebook, but when I uploaded a photo just now of a place from my childhood to which I haven't ever been since using Facebook, Facebook correctly suggested the location.
What the heck?!
Re: Facebook machine learning technology improves; Redditors alaramed.
#3Re: Facebook machine learning technology improves; Redditors alaramed.
#4Redditor has facebook app installed on their smartphone (or just uses the website), sets status to "OMG wife is going into labour, at the hospital now". Facebook now knows roughly where redditor was at the specified time based on the ip, they can narrow this down further by looking at keywords in the status message and check it against a list of addresses in the local area and select the best match.
When the redditor comes to upload their photos days or weeks later, facebook just checks the photo timestamp against the user's location +/- X hours and makes a guess at where the photos were taken.
Re: Facebook machine learning technology improves; Redditors alaramed.
#5How could Facebook do this (technologically)? According to a redditor, " - It's not IP address . Facebook successfully identified a number of specific locations (bars, theaters, etc) even though I had uploaded the photos from my home - It's not geo-tagging . All of my photos were taken with a camera that does not geo-tag (Nikon d700). - It's not contextual tagging . There were no people tagged in the photos, no comme…
Re: Facebook machine learning technology improves; Redditors alaramed.
#6Here's my guess at how it's done: Redditor has facebook app installed on their smartphone (or just uses the website), sets status to "OMG wife is going into labour, at the hospital now". Facebook now knows roughly where redditor was at the specified time based on the ip, they can narrow this down further by looking at keywords in the status message and check it against a list of addresses in the local area and select…
Re: Facebook machine learning technology improves; Redditors alaramed.
#7Re: Facebook machine learning technology improves; Redditors alaramed.
#8Here's my guess at how it's done: Redditor has facebook app installed on their smartphone (or just uses the website), sets status to "OMG wife is going into labour, at the hospital now". Facebook now knows roughly where redditor was at the specified time based on the ip, they can narrow this down further by looking at keywords in the status message and check it against a list of addresses in the local area and select…
The logic doesn't hold up. I uploaded a bunch of photos taken in Christchurch, New Zealand. The pics were over two years old and I now live in the UK and uploaded them from here. The photos were also taken on a cheap, point & shoot camera, not a smartphone.
Re: Facebook machine learning technology improves; Redditors alaramed.
#9Here's my guess at how it's done: Redditor has facebook app installed on their smartphone (or just uses the website), sets status to "OMG wife is going into labour, at the hospital now". Facebook now knows roughly where redditor was at the specified time based on the ip, they can narrow this down further by looking at keywords in the status message and check it against a list of addresses in the local area and select…
The logic doesn't hold up. I uploaded a bunch of photos taken in Christchurch, New Zealand. The pics were over two years old and I now live in the UK and uploaded them from here. The photos were also taken on a cheap, point & shoot camera, not a smartphone.
Or, you used facebook at some point while in that city, facebook recognised that your photo was of a baby just born, by comparing it with the millions of other photos tagged with "OMG MY BABY IS BEING BORN!," it knows that babies are born in hospitals, and it knows that there is only one hospital in that city, so it guesses that the photo was taken in that hospital.
Re: Facebook machine learning technology improves; Redditors alaramed.
#10Earlier quoted context omitted.
The logic doesn't hold up. I uploaded a bunch of photos taken in Christchurch, New Zealand. The pics were over two years old and I now live in the UK and uploaded them from here. The photos were also taken on a cheap, point & shoot camera, not a smartphone.
but did you use facebook at all when you were in new zealand?