stupid

Probably not automated. They probably have a couple people doing it, but they will probably eventually crack under load.

Interested to hear what they say, if anything.

I can imagine this happening… but because of their “Privacy Policy” and “Terms of Service” … nope. Lack of business model, too. Hmm…

I saw Hawk’s mention of it on FriendFeed and went and had a look. Much like you I to found the whole thing rather suspicious. And the TBO for privacy .. should be a warning flag .. run .. run very fast in the opposite direction.

Sweet, Jeffery Bennett’s “Image Search for the Blind” from SxSW finally got funding

LMAO @ TBD

Sounds like they are using Amazon’s Mechanical Turk

Besides the obvious interest, who cares whether it’s automated or done by humans? If it is done by people, then it’s basically the mechanical turk, a business model that has had a modicum of success elsewhere.

For the average snapper, tagging is something you have to do yourself. If you get somebody/something else to tag your photos how will it know when/where/why a photo was taken, or who is in the photo? It might recognise famous faces and places, but what about a generic flower, or my baby nephew?

Professional photographers might pay since more tags leads to more leads. I have no idea whether photographers currently do this themselves for sites like iStockPhoto, but if not, there is a potential business model in there.

Michael: I work in the image recognition and processing field (have been for a decade) and your answer is correct: the tagging is definitely not an automated process; it is manual. Total BS given the tag line “automatically tag thousands of photos”; perhaps “automatically” to them means “tagged by somebody else while you are not looking”.

Blowski – it’s only an important distinction if you see a difference between, say, a secretary taking dictation v. a word processor on a computer.

what I don’t get is how they can tell who ‘dad’ or ‘emma’ are in the pictures I’d upload for tagging. For generic stuff (car, mountain, people, sunset, etc) this seems pretty straightforward, and yeah, they’re likely using mechanical turk or something like it.

The *automagical* tagging technology ‘behind’ the http://www.Tagcow.com site is definitely not clear. Ok, so you think “humans do it.” Now, I am picturing this… there’s like this room of terribly sweaty, overworked ‘interns’ cranking out tags to match photos?! are you serious?

If that’s the case, then wow, that’s definitely a ridiculous business plan; not viable.

Don’t even get me started on the privacy policy “TBD” bit.

“tagged by somebody else while you are not looking” -#9

That’s probably exactly why they don’t have a privacy policy up yet.

@Michael: I would have compared it to a secretary taking dictation and voice-recognition software. You go with whichever gives you the best letter.

This is interesting. The complexities of solving this problem from a technical standpoint are computationally difficult to say the least.

I think the better question here is, “Who Cares”? If its done by a human, its going to be more accurate….

So if it works, and they’ll tag your photos for free, and it’s accurate — who cares?

This business model was crushed by Luis von Ahn years ago.

“I’ve emailed the company for a description of how the service…”

Looks like they want to keep it a secret. If the service is a success you will see numerous oDesk job posting for “image taggers”

Personally I’m a little uncomfortable with humans looking at all my photos.

Imagine if Gmail ads were added by humans reading your emails.

Why can’t it be a combination?
80% automatic 20% human validation. The better it gets the more automatic it gets. Unlike riya it’s a progresive approach that learns from training.

Its not the business model that is the problem. Its viable as they can get it done at low cost destinations and the work can be done with little or no educational qualifications. Its the privacy issues that come to the fore.

Just Absurd

watch like they want to keep it a secret. If the service is a success you will see numerous

It sounds like they’re ripping off Luis Von Ahn’s research:

http://www.cs.cmu.edu/~biglou/

cocomment test

If there is a human factor to the matching process, you should have picked a better topic :) “Hey we got this figured out! Not!” could have worked.

Also what are the privacy implications of this type of service?

Sounds like a good idea in theory, but other than the obvious question marks around revenue model, operation, and everything else, there’s one more teensy weensy issue. How many people tag their photos by ‘mountain’, ‘yellow’ cup, ie. random description? I rarely tag my photos due to sheer laziness, but am I the only crazy person who does it by name of the people in the picture, event, date, location, ie. relevant details? How can any system, automated or monkey-operated do that?

Umm, this wouldn’t have anything to do with a certain date fast approaching would it?

You know, the date that makes people look like fools ;-)

Funny post, especially when you finish watch “Deja Vu” with Denzel Washington 10 minutes prior to reading the post!

Thanks Mike, but an endorsement from a person who copies wholeseale another site’s code (*hello Thomas Hawk* *hello Zoooommerrr*) is hardly to be trusted.

(unless of course they’re sending coke&ho’s your way, in which case I understand)

Looks like they upgraded the tagline with the word “Automatically”

‘Automatically tag thousands of photos and make your photo library yours again’

Make no sense.

Manually? No way. This technology doesn’t seem to be new. I have been using oculr.com for a while.

Too true to be believed at the moment if they are doing it automated way…

@ 23: Adam:

Thanks for the link, amazing video on Human Computation here : http://video.google.com/videoplay?docid=-8246463980976635143

Its the google techtalk from Luis Von Ahn … I started to watch it for a few minutes but could not stop until the end ^^

It is practically impossible to get the tagging done by humans. I mean how many people can they employ? Hence my sense is it must be a combination of technology and human tagging. I mean the technology can tag 80% of the images and the humans can correct the rest 20%.

I believe that is a good way strategy to enter this market. Enter the market, create a presence, then keep investing in the technology to a point where it becomes 95% or so correct. I think the human intervention shall be required for quite sometime to come.

End of the day, as an end user I do not care how they do it. I just want to get my images tagged properly.

In corner A: letting TagCow hire random people to tag my *public* Flickr photos.

In corner B: AOL, MSN, and Yahoo hand over their logs to the U.S. federal government when requested, and not even as part of a criminal investigation, and without telling their users.

And I’m supposed to be concerned about TagCow? WTF?

#36, u have a point. i guess most ppl willnot be worried abt privacy. just look at how they put everything public in flickr,social n/w etc atleast they have some market.

We’ve seen loads of ridiculous ideas turn into serious business on the WWW, but I would not bet on this one. Google Image Labeler is using human labeling based on Luis Von Ahn research and project, which is based on making use of people fun time. Paying for labeling is a nasty costly business you can’t afford it. All the time and money it takes to keep up with people uploading their some junk photos.

This human-tagging process reminds me of Yahoo whose directory of URL is maintained manually by human. User suggests interesting links to Yahoo which they then add it to portfolio.

However, human-tagging may not be efficient if the system gain critical mass. It will have to hire more human to tag the content, and that some content may just be missed due to human’s oversight. Moreover, it might be scalable.

[...] Image Recognition Problem Finally Solved: Let’s Pay People To Tag Photos [...]

Also what are the privacy implications of this type of service?

At least in my case I wasn’t really worried about their privacy policy. 100% of my Flickr photos are already public photos. Anyone and everyone in the whole world already has access to these photos by my choice to make them public images. Certainly someone with *private* photos might not want to turn them over to tagcow unless they felt comfortable with their privacy policy.

Personally I was pretty impressed with the job that they did tagging my photos. They added thousands of highly descriptive tags. This means that more of my photos will likely show up in image searches both on Flickr as well as on Yahoo by extension as the photos are indexed for theses new tags.

Personally I think that tagcow uses a combination of AI and human resources. I noticed what felt like text recognition on a lot of my photos that had text in them. But they also tagged many of my photos using highly complex conceptual tags that I don’t believe a machine could come up with.

I believe that there possibly could be clustering of sorts going on as well but am not sure on this. For instance. If a photo is tagged witch, might you not automatically tag a photo with this tag also with “wicked.” Similarly, if a photo was tagged sunrise, might you also autotag the photo morning, etc.

Certainly human tagging might not be economically feasible. Certainly it might not also scale. But, at least for the time being, it was pretty cool to have someone/somehow spend hours and hours making my photos on Flickr more descriptive at no cost to me. And whatever the case, one of the cooler things I’ve ever seen done on a personal level with the Flickr API.

interest

[...] Image Recognition Problem Finally Solved: Let’s Pay People To Tag Photos [...]

this is like mechanical turk over at amazon isnt it?

“Note that Google has effectively thrown in the towel and uses humans for this kind of work, too.”

I very much doubt that. If anything, they could easily use the information they get to train an algorithm. I’m sure the image labeler is a small piece that will help to feed some kind of automated recognition that could actually scale.

[...] [原文へ] [...]

Google hires 1,000′s of (contract) workers across the globe to classify and QA their web results.

QED.

“…Due to unexpected load (during our beta), tagging of photos will be delayed…”
Now that clears things up :-)

will they integrate with picasa ?

Its probably being done through Amazon’s Mechanical Turk.

http://www.mturk.com

It’s “powered by” Munio Memory services which sells image insurance

“Memory Insurance protects all your photos, children’s art, documents and journals.”

So the free tagging service is most likely an attempt to attract customers for the paid service.

We will have to wait for the official word. Answers should have been before the launch of the site, without mentioning that privacy conditions are not clear either.

[...] acceder a la web de tagcow y filtrar la subcolección de fotos a través de estas palabras. En techCrunch han quedado tan impresionados como me he quedado yo, sobre todo después de descubrir que hay un [...]

I’m getting:

503 Service Temporarily Unavailable

The server is temporarily unable to service your request due to maintenance downtime or capacity problems. Please try again later.

Are they experiencing the techcrunch-effect already? ;)

[...] http://www.techcrunch.com/2008/03/29/image-recognition-problem-finally-solved-lets-pay-people-to-ta... And now suddenly TagCow appears, which allows users to upload photos and have them tagged within a few minutes. The technology appears to be “magic,” meaning there’s no explanation of it. [...]

http://www.china-kitchen-cabinets.com

Has anyone of you suckers ever thought that this could be an April Fool joke given its April 1st tomorrow – maybe a get in early get you all excited and then pull the rug from under your feet routine….

I shall be looking at this, but geepers yes its complex, but not impossible.

another note from the dailytwitter

Top quality watches and handbags
http://www.watchhandbag.com

A good way to keep your photos organized (aside from human tagging) is with 2pad, an email based photo sharing application. Users send their photos and/or videos to 2pad@pad.com and store their media in their own private online galleries.

Since 2pad stores the content of their emails with their photos. Users are able to search with keywords to find their media.

A different solution to this human tagging approach.

This task will be human powered for some time to come. I speak from experience. Poor, poor Wang!

Harry “I bet they hired a slew of third worldies to do this” Wang

Strange, searched on the main guys listed for the company and found another company they all founded as well: http://www.muniomemoryservices.com

two companies doing the samething under different names by the same people????

[...] a few minutes. The technology appears to be “magic,” meaning there’s no explanation of it. Read more. addthis_url = [...]

[...] vi bildene dine med stikkord. Veldig kult. Men de sier ikke noe om hvordan det hele fungerer. Mike Arrington er ganske klar: The answer is, humans do it. I note that the TagCow site is careful not to say anything about the [...]

[...] new post at TechCrunch just appeared: Image Recognition Problem Finally Solved: Let’s Pay People To Tag Photos. A new company apparently provides image recognition for photo tagging – but only with human help! [...]

[...] TagCow etiketlendiriyor. İnanılmaz görünen bu sistemin nasıl işlediği ise bir sır. Haber‘i veren Michael Arrington bunun otomatik olarak değil insan gücüyle yani manuel olarak [...]

hmmm….looking at the number of HITS that has been waiting for a worker at Mechanical Turk, they will be having indefinite delays in tagging it seems :) Another I have more money than sense, money-down-the-drain, web 2.0 madness.

It is done through amazon mechanical turk.

Workers get 5 photos and are paid $.04 to label all the text in the photo and to “Describe, using simple, generic terms, what you see in the image. (Examples: family, beach, drawing, child, child eating spaghetti, letter, disneyland, envelope, greeting card, etc.)”

Tagcow’s response to the increased load has been an offer of a $10 bonus to every 200 hits completed (that’s 1000 photos as each hit has 5 photos).

Be aware since anyone can sign up to mechanical turk, all your photos you want tagged are viewable by the public.

I tried a few. I tagged all images group sex, orgy, fellatio, swingers, voyeur etc. They were some guy’s Christmas photos

@59: Double-blind my friend, double-blind.

Harry “covering all the angles” Wang

@60 I have multiple accounts my friend, I have multiple accounts

Jerry “hates fucking chinks” Wank

new knowlegre

[...] service <a href="http://www.tagcow.com/">TagCow</a> caused a <a href="http://www.techcrunch.com/2008/03/29/image-recognition-problem-finally-solved-lets-pay-people-to-tag…">bit of a stir</a> over the weekend. The product seemingly solves the problem of [...]

[...] (never launched), and Polar Rose (in private beta for nearly a year), among others. Most recently Tagcow came on the scene, but it turns out it uses humans to tag photos, which tends to produce bad [...]

[...] 19, 2008 TagCow Sucks Posted by Carolyn under Customer Service, technical, web   I was a guinea pig for TagCow. We figured if this was going to do what it says it’d do, that save us a lot of [...]

Yea, this service just plain doesn’t work. Check it out; my wife guinea pig’ed it for me and it SUCKS SUCKS SUCKS SUCKS as a service:
http://carolyncasl.wordpress.com/2008/04/19/tagcow-sucks/

“I was a guinea pig for TagCow We figured if this was going to do what it says it’d do, that save us a lot of time tagging our pictures.
In order to use TagCow, you have to register with their site, and upload the pictures to them. You can sign up for their flickr service, which I did, and they are supposed to tag your photo and then upload it to flickr. In order to tag people, you have to upload a picture of that person and assign their name to that picture. I uploaded a picture of me and Clint. Then I uploaded one picture. Several days later, the picture still wasn’t tagged.

One day after I signed up and uploaded my one test picture, it was confirmed that it is actual humans tagging the pictures. I reported to Clint that my picture still wasn’t tagged. A week later, it still wasn’t tagged.

Guess what.. I forgot about it.

Until today. After realizing what the mystery was (”Hey, TagCow finally tagged my picture!”), we realized that it is still not perfect. First of all, why did they change the spaces to underscores in the title? That makes the title stretch all the way across the screen, and I have to actually use the horizontal scroll-bar! Secondly, it tagged Clint in the picture, but Clint isn’t in that picture. Maybe the human thinks Justin looks like the picture of Clint I uploaded? Who knows.

Anyway, I will not be using TagCow in the future. It’s a neat idea, but in practice, they have a long way to go.”

^ 19 days to get 5 tags on 1 picture. 1 of the tags was wrong, AND they messed up the flickr page by converting spaces to underscores.

[...] any computer at the moment. Many companies are working on a solution but no winner yet. Tagcow (covered by Techcrunch here) tried to “cheat” and hire humans to do it and masked it behind a web app but even that [...]

[...] co-founder, he revealed it is part automated and part human-based. I would even venture to suggest different humans were assigned to my photos, as the results were slightly different for each image I uploaded. There was even a typo! Due to [...]

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Roxanne Omah Holl is a woman

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[...] never thought we’d hear from again. We first discovered them in March when they launched a product that tagged things in photos, seemingly by magic. If it was automated, they’d done something even Google still uses humans [...]

[...] never thought we’d hear from again. We first discovered them in March when they launched a product that tagged things in photos, seemingly by magic. If it was automated, they’d done something with computers that even [...]

[...] scenarios. Milabra is by no means the first startup to tackle image recognition – there have been stream of similar solutions that have tried and failed, leading some companies to give up on automation [...]

[...] scenarios. Milabra is by no means the first startup to tackle image recognition – there have been stream of similar solutions that have tried and failed, leading some companies to give up on automation [...]

[...] Over the past few years, there’s been a lot of progress in image recognition, especially with facial recognition For instance, Face.com does a particularly good job with Facebook photos. But buildings and objects [...]

[...] Over the past few years, there’s been a lot of progress in image recognition, especially with facial recognition For instance, Face.com does a particularly good job with Facebook photos. But buildings and objects [...]

[...] 報告によると、同システムでは5万種類の名所を80%の精度で識別するという。これがたとえベータ版としてでも出せる水準にあるのかどう私にはわからないが、Googleがこれを90～95%にまで高めることができれば、ユーザーフレンドリーと言えるだろう。ここ数年の画像認識、特に顔認識の進歩はめざましい。例えば、Facebookの写真では、Face.comが特にすばらしい仕事をしている。しかし、建造物とモノとでは、画像認識のうえで別の課題があるのかもしれない。 CrunchBase Information Panoramio Picasa Google Images Information provided by CrunchBase [...]

[...] Over the past few years, there’s been a lot of progress in image recognition, especially with facial recognition For instance, Face.com does a particularly good job with Facebook photos. But buildings and objects [...]