Want to know more about Tagcow’s consumer services and how we can help increase the value of your consumer applications like data backup services, photo sharing and photo print services (calendars, coffee mugs, post cards, prints, etc.,)? Remember, you have the images but without meta data you don’t have an asset! Image Data Equation: assets = your image + Tagcow meta data.

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Coming off the heals of another celebrity tagging job I thought it would be interesting to take a different look at the data. So I set out to answer a couple of simple questions. First, what is the typical “mood” of a celebrity in the photos taken? Second, are there more female or male celebrities photographed? I’ll answer the question of “Most” photographed celebrity of 2009 in a special New Year’s Eve post tomorrow.

Celebrity Moods
As you can see most the overwhelming mood of photographed celebrities is Happy - 59% and Sexy - 25%. I guess we’d all feel happy and sexy if we were rich and famous. Chart below…

From

Celebrity Photo Gender Distribution
As you can see female celebrities have their photos taken roughly 12% more often than their male counterparts. The only surprise here is that there’s not a bigger discrepancy. I blame the Twilight Phenomenon of 2009. I think we tagged a million images of Robert Patinson and Taylor Lautner this year.

From Tagcow

We’ve been photo tagging celebrities recently so I though it’d be fun to post a tag cloud from the recent batch of images. Apparently Rihanna, Pattinson and someone named Gaga are popular these days - who would have know? I don’t see Madonna or Clinton anywhere…what decade is it anyway?

We’re going to continue to post these tag clouds from our photo tagging service every couple of days so keep posted they can be a lot of fun. I think I will do one for emotional tags and then maybe one from a marathon that we are going to be tagging.

I’d bet a million dollars that the number one emotional tag from the marathon will be “miserable” - but that’s just my opinion. Don’t take offense my running friends you know I say that out of respect. I can run fast but not very far

Finally!! We’ve released version 2.0 of  Tagcow with a brand new tagging template for our consumer users that seriously kicks butt! The new template really pushes our image tagging system to identify unique objects, create minimum tag sets and focus on the emotional aspects of the image as it’s being tagged.  The results of the update trump any automatic object recognition system by decades.

Checkout the tags on this simple photo of me and Anakin…

unique_attributes:
Watching|Happiness|Thinking|Sitting
main_theme:
Boy and man
image_type:
photo
color_type:
color
key_objects:
Boy|Man|Drums|

and a simple pic of me playing vids with Anakin produced these tags:

main_theme:
Playing video game
color_type:
color
unique_attributes:
concentration|relaxation|serious|family
key_objects:
Man|Young Boy|Couch|Game controllers
image_type:
photo

We are getting very good and consistent results from the new template. The best news is that with these improvements we’ve actually lowered the cost of our consumer description tagging service from 2.5 cents per image to 2 cents per image and we still offer a money back guarantee if you’re not satisfied with the results of our service. What we’re working on next for our consumer service are more custom controls allowing users to control their tagging to the very last detail. Including whether or not to use quotes to separate tags or to include common misspellings and stemming in your tagging results.

Don’t count Tagcow out! As a very prominant venture partner recently said, someone is going to solve the image tagging problem for consumers and it’s most likely going to be Tagcow. Umm…mostly likely?