Facebook is Using Instagram Photos and Hashtags To Improve Its Computer Vision (venturebeat.com)
Facebook today revealed that, using 3.5 billion publicly shared Instagram photos and their accompany hashtags, its computer system has achieved new advances, with a 85.4 percent accuracy rate when used on ImageNet, a well-known benchmark dataset. From a report: The results were shared onstage at F8, Facebook's annual developer conference taking place today at McEnery Convention Center in San Jose, California. Other news announced at F8 this year include the release of Oculus Go, new Facebook Stories sharing capabilities, and the reopening of app and bot reviews following the Cambridge Analytica scandal. See the full rundown here. The results of Facebook's research mean that its computer vision in the real world can see more specific subsets, so instead of just saying "food," it's Indian or Italian cuisine; not just "bird" but a cedar waxwing; not just "man in a white suit" but a clown.
I'm very tempted to bring a lawsuit here. I did not grant permission for this usage.
What the f**k? Every 3rd story is about FaceBook? Who really cares? (Yawn...)
I love how every day we're getting closer and closer to having XKCD become reality! https://xkcd.com/1425/
Facebook's current "vision" capabilities are already pretty impressive. You can right-click any image in your feed and choose "Inspect element", dig down to the element, and look at the "alt" attribute to see what Facebook thinks is in that image. A sampling of my current feed:
Image may contain: 5 people, people smiling, people standing
Image may contain: dog
Image may contain: car and outdoor
Image may contain: pizza and food
Image may contain: text
See previous story.
It's time to mess with the Facebook algorithms, start a mass movement to apply nonsensical hashtags to every photo posted. It's like when I answer signup questions, I always choose the 1/1/1900 or 1/1/1970 depending on how permissive the signup form is, feed the beast with as much bogus data as possible so that their algorithms can't do anything useful.
There are 4 boxes to use in the defense of liberty: soap, ballot, jury, ammo. Use in that order. Starting now.
#hotdog, #nothotdog
cool about tme they started showing off all the booty they been hiding
'Thanks to our draconian terms of service that grants us the right to steal our user's content and data, we've advanced our own projects in a yet to be proven useful fashion FOR FREE!' . Facebook can suck it.
And neither have Instagram, Messenger and the rest of them. GDPR requires that the data subject gives explicit consent, separately, to each use of their data. This really powerful stuff and, at the same time, totally alien to FB, Google et al. It isn't even as if the words in the regulations are unclear or writing in high faluting legalese:
Article 7.
1.Where processing is based on consent, the controller shall be able to demonstrate that the data subject has consented to processing of his or her personal data.
2.If the data subject's consent is given in the context of a written declaration which also concerns other matters, the request for consent shall be presented in a manner which is clearly distinguishable from the other matters, in an intelligible and easily accessible form, using clear and plain language. Any part of such a declaration which constitutes an infringement of this Regulation shall not be binding.
This is likely also to cause quite a bit of erm... inconvenience to the sellers of data. Methinks there will be much merriment amongst the legal profession in the EU over the next couple of years.
Will it correctly identify a picture of Mark Zuckerberg as a rectum?
posted and properly tagged this test image set on instagram or facebook? anything less than 100% should be considered a total failure.
not just "bird" but a cedar waxwing; not just "man in a white suit" but a clown.
Not just "some corporate asshole" but Mark Zuckerberg.
What did you think, they were meant for you to find content?
From the very first implementation I knew this was an instrument for classification.
Thank you for participating in the experiment.