

An API wrapper to Clarifai's image recognition demo - hackerews
https://api.blockspring.com/users/orliesaurus/blocks/d54a2e2c28aebab4fe079ff547cea495

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adamatclarifai
Adam from Clarifai here.

As tommoor pointed out, this is just a thin wrapper around our demo at
[http://www.clarifai.com/](http://www.clarifai.com/)

(we're very flattered...)

A real API will be out soon. It won't be throttled as heavily as the demo, and
will be more developer friendly.

you can sign up for early beta access at clarifai.com.

~~~
troels
Wow. The classifier is really impressive. Will it be possible to train your
own classifier on your service? I have a lot of clothing items that it would
be useful to classify. I tried building my own with opencv, but I haven't had
too much luck so far.

I signed up for the api access - would be very interested in playing a bit
more with this.

~~~
adamatclarifai
Thanks!

Training custom classifiers isn't in the roadmap for v1, but there will be a
mechanism for providing feedback (suggesting new tags and marking errors), and
we'll continue to improve our models based on that.

If you have a very large (100k+ images) well-labeled repository to train from,
send us a note at info@clarifai.com, we'll tawk.

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thomasfromcdnjs
I put in the link to my profile picture on twitter ->
[https://pbs.twimg.com/profile_images/488579015507050497/QvG1...](https://pbs.twimg.com/profile_images/488579015507050497/QvG1ArTx_400x400.jpeg)

["black", "american", "woman", "man", "pitt", "brad", "senior", "worker",
"group", "cuba"]

Brad Pitt! Great work guys!

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tommoor
I don't know why this link doesn't go directly to the source:
[http://www.clarifai.com/index.html](http://www.clarifai.com/index.html)

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columbo
Wow! This is really neat, I tried to find images that I didn't think it could
process, the results are interesting.

[http://upload.wikimedia.org/wikipedia/commons/1/1e/Blown_up_...](http://upload.wikimedia.org/wikipedia/commons/1/1e/Blown_up_electrolytic_capacitor.jpg)

["piranha", "fish", "food", "water", "gold", "dish", "crab", "kitchen",
"glass", "silver"]

[https://www.flippers.com/images/See-SHFA1_Caps&Mods-
PCB.JPG](https://www.flippers.com/images/See-SHFA1_Caps&Mods-PCB.JPG)

["panel", "retro", "wine", "background", "design", "old", "tool", "letter",
"art", "robot"]

[http://history.nasa.gov/alsj/a11/a11_lpi_trvrsmap.gif](http://history.nasa.gov/alsj/a11/a11_lpi_trvrsmap.gif)

["background", "metal", "water", "man", "wall", "old", "abstract", "paper",
"hand", "paint"]

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dhammack
Very impressive! Some cool ones it recognized:

milk jug [http://cdn-
jpg.allyou.com/sites/default/files/image/2014/01/...](http://cdn-
jpg.allyou.com/sites/default/files/image/2014/01/400xvariable/i/2009/08/craft-
a-birdfeeder-out-l.jpg)

["milk", "gallon", "jug", "product", "detergent", "plastic", "water", "soap",
"canteen", "white"]

mushroom cloud:
[http://www.atomicarchive.com/Effects/Images/WE12.jpg](http://www.atomicarchive.com/Effects/Images/WE12.jpg)

["fire", "bomb", "mushroom", "flame", "letter", "font", "hell", "volcano",
"smoke", "burn"]

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sjtrny
Very optimistic. Got a picture of a Hyundai. Reckons it's a BMW or Audi.

[http://www.airnorth.com.au/sites/default/files/Car%20hire%20...](http://www.airnorth.com.au/sites/default/files/Car%20hire%20-%20Budget%20Hyundai%20i30%20-%20LR.jpg)

["car", "bmw", "auto", "sport", "3d", "vector", "white", "blue", "front",
"audi"]

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Navarr
Tried a Pokémon card and got "semi relevant" results

[http://sixprizes.com/wp-content/uploads/pikachu-next-
destini...](http://sixprizes.com/wp-content/uploads/pikachu-next-destinies-
nde-39.jpg)

["background", "card", "kid", "vector", "design", "school", "book", "frame",
"cartoon", "dog"]

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abbottry
Facebook Logo:
[https://www.facebook.com/images/fb_icon_325x325.png](https://www.facebook.com/images/fb_icon_325x325.png)

["cross", "sign", "plus", "pound", "medic", "first", "icon", "jesus",
"christian", "aid"]

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nivals
Nice! Got some interesting results from a photos of iPhones and iPads.

Curious to know how this compares head-to-head with the CamFind API at
[https://www.mashape.com/imagesearcher/camfind](https://www.mashape.com/imagesearcher/camfind)
which I've been thinking of using for a project.

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orliesaurus
Well this went better than I expected :) EDIT: context- I'm the one that made
the wrapper for clarifai's API, loved the service since I heard of it, great
to see people appreciate (from the number of API calls you guys have made so
far) both the service and the small wrapper to the API!

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NKCSS
Only car was recognised here:
[http://www.highsnobiety.com/files/2014/05/lamborghini-
aventa...](http://www.highsnobiety.com/files/2014/05/lamborghini-aventador-
galaxy-custom-dxsc-0.jpg)

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btbuildem
I tried a few images, for all of them "woman" was the first result (only one
image had a woman in it).

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Falling3
Combine this with a Markov Chain and you get a nice story teller.

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stuaxo
Try typing in

A python stacktrace about JSON

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antonwinter
what the hell, i tried a few images from unplash and it worked flawlessly. how
does this magic work?

~~~
antonwinter
i've tried maybe 30 images now. All of them it nailed. i did find one that
made me laugh. it doesnt know what a goat is.

[http://picjumbo.com/wp-
content/uploads/IMG_9454-1300x866.jpg](http://picjumbo.com/wp-
content/uploads/IMG_9454-1300x866.jpg)

["dog", "australia", "deer", "bear", "cow", "mouflon", "lemur", "wild",
"safari", "zoo"]

~~~
acomjean
or a horse apparently. Did figure the jockey though...

[http://plocp.com/user/Aram%20Comjean//The%20Belmont%202007/i...](http://plocp.com/user/Aram%20Comjean//The%20Belmont%202007/images/20070609-_MG_8284.jpg)

["race", "beach", "camel", "rodeo", "jockey", "polo", "toreador", "torero",
"donkey", "dog"]

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azianmike
wow this is really cool! how is this done?! what kind of sorcery is this?!

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robzz
pretty impressive!

