6 ms·
I shudder for the future.
by ddrt 6y ago
I shudder for the future.
- stu2b50 6y agoYolo does bounding box detection on faces. Classifying those faces is something else's job.
- jakear 6y agoXolo does feature vector extraction on face regions. Extracting those regions from larger images is something else’s job. Zolo does feature vector similarity analysis on facial feature vectors. Extracting those vectors is something else’s job. Oh look, now every authoritarian government has free access to never before seen levels of data harvesting. But nobody has to feel any guilt because they only contributed a third of the machine. Hooray!
- zo1 6y agoThe future is coming, and the tech that can enable authoritarian behavior will come no matter what we do as they're just tools. It's been here and around us in ever-increasing forms for decades and yet we haven't necessarily devolved into a big brother state. What we should be worrying is actual usages of grand scale citizen-control and monitoring projects that are enabled by technology. Think China, not UK or US.
- longtom 6y ago> and yet we haven't necessarily devolved into a big brother state. Well this is damn close. It just needs an executive apparatus which is where drones surely come in handy. https://en.wikipedia.org/wiki/Global_surveillance_disclosures_(2013%E2%80%93present) https://en.wikipedia.org/wiki/Global_surveillance_disclosure...
- 8fingerlouie 6y agoAnd yet, a $0.50 facemask will completely destroy the surveillance.
- eunos 6y agoNah, gait based subject recognition might come in the future.
- HPsquared 6y agoMaybe wear high heels?
- anigbrowl 6y agoGait based recognition is way overrated, plus it's a lot harder to sell to a jury.
- jakear 6y agoAlready in use in places like China. And we know the US govt has secret courts to authorize wiretaps. We’re on the brink.
- gsich 6y agoWhy use hypothetical stuff as an argument?
- bonestamp2 6y agoWe have to worry about it in the US and the UK too. I mean, monitoring is already widespread in the US, UK, Canada, etc. Filtering, and therefore control, was almost reality in the UK last year, albeit limited to pornography. But it's a slippery slope in both cases.
- tenuousemphasis 6y agoIf open source models aren't developed, and even if they are, governments are going to develop their own. At least this way everyone else is on equal footing and not at a strict disadvantage. This tech could be used to identify police when they are in riot gear and cover their identification, for instance.
- jakear 6y agoNo, it couldn’t. We can’t see their face. We could maybe do it with gait analysis. But I haven’t seen public models for that (a good thing!)
- anigbrowl 6y agoWell, you often can see police officers' faces through their visors, just as you can sometimes recognize people through fabric masks. Police don't wear gas masks all the time, only when they're about to or immediately after deploying gas.
- jakear 6y agoThe police I saw at Seattle protests did indeed wear de-identification equipment even when not actively deploying chemical weapons against the civilians. I have photos.
- onion2k 6y agoYou can't classify faces if you haven't found them. Building the face detector enables the face classifier.
- jobigoud 6y agoWhat enables the face detector? Where does it end?
- ad404b8a372f2b9 6y agoFace detection is a critical and difficult part of face classification, it's not like we're decrying the invention of the transistor. It's more like working for a bullet manufacturer and hoping they'll be used for hunting deer. It ends wherever you set your ethical boundaries, and it's certainly not black and white, but I'd say the man who builds fireworks from gun powder has an easier time than the one who puts it in steel casings.
- gsich 6y agoPicasa is still the best software for that.
- owenversteeg 6y agoIs it? Is there some kind of comparison with metrics? In my own use I found it to be pretty good, but I have no idea what else is out there.
- gsich 6y agoI have used Digikam because I thought it was 4 years newer but it was a complete and utter disaster. Huge problems (slow) when using it with a lot of pictures, face detection all over the place and a shitty interface to tag people. Picasa on the other hand has no problems with huge libraries and the tagging interface is actually fun to use. Downside to Picasa is that the initial indexing is very slow, as it only uses 1 core. Also (both Digikam and Picasa do this) software needs to write metadata into the JPG file. No sidecar allowed.