-> There's an undo button, it works well. But there should be a redo button. (Or the Apple-Y or Ctrl-Y keyboard shortcut for redo ought to work.)
-> See how my smiley face is too big on the right? Well I can't make it smaller: even if I zoom way in (there's a zoom functionality) I can't use the select tool to just select the smiley face (inside the jail) to reduce it in size. I'd have to recreate the parts of this image separately.
-> There is no way to set line thickness on the clip art! This should be one of the easiest things to set - but you can only scale the whole image, not the line width. That makes it hard to work with.
Overall I found the experience frustrating.
I have a challenge for you guys though: for the most common hundred thousand or so words, use a machine learning algorithm on your own Image Search results, to try to come up with canonical ideas of what the objects in question might look like, after sorting them into categories based on similarity of recognized features. Then have the algorithm create an outline using the canonical idea it has derived for each category.
What I mean is that if someone Google's "hand" they might get: left hand, right hand, fist, middle finger, OK sign, I mean there really are only so many ways to hold a hand, or visual meanings/memes for the idea of "hand", and other artists already have introduced a canonical version. (Likewise "stick figure" has a meme around it.)
So for each one of those, the algorithm could learn from every version of that that it judges as similar to each other -- and then draw it's own for each one! (Computer algorithms are good at drawing in a learned style, even such as Van Gogh's, etc.)
Other simple examples include a "peace sign". If you Google image search "peace sign" you obviously get a very canonical shape. Why can't a machine learning algorithm draw its own?
This idea of deriving free, creative-commons licensed images (not subject to trademark search of course), by a machine learning algorithm trained on a huge corpus of image results date (in a fair use way), without copying any of them in particular, would be huge.
You have most of the interface to do this. It is a nice next challenge for you - and a very serious one. I suggest you do it!
-> There's an undo button, it works well. But there should be a redo button. (Or the Apple-Y or Ctrl-Y keyboard shortcut for redo ought to work.)
-> See how my smiley face is too big on the right? Well I can't make it smaller: even if I zoom way in (there's a zoom functionality) I can't use the select tool to just select the smiley face (inside the jail) to reduce it in size. I'd have to recreate the parts of this image separately.
-> There is no way to set line thickness on the clip art! This should be one of the easiest things to set - but you can only scale the whole image, not the line width. That makes it hard to work with.
Overall I found the experience frustrating.
I have a challenge for you guys though: for the most common hundred thousand or so words, use a machine learning algorithm on your own Image Search results, to try to come up with canonical ideas of what the objects in question might look like, after sorting them into categories based on similarity of recognized features. Then have the algorithm create an outline using the canonical idea it has derived for each category.
What I mean is that if someone Google's "hand" they might get: left hand, right hand, fist, middle finger, OK sign, I mean there really are only so many ways to hold a hand, or visual meanings/memes for the idea of "hand", and other artists already have introduced a canonical version. (Likewise "stick figure" has a meme around it.)
So for each one of those, the algorithm could learn from every version of that that it judges as similar to each other -- and then draw it's own for each one! (Computer algorithms are good at drawing in a learned style, even such as Van Gogh's, etc.)
Other simple examples include a "peace sign". If you Google image search "peace sign" you obviously get a very canonical shape. Why can't a machine learning algorithm draw its own?
This idea of deriving free, creative-commons licensed images (not subject to trademark search of course), by a machine learning algorithm trained on a huge corpus of image results date (in a fair use way), without copying any of them in particular, would be huge.
You have most of the interface to do this. It is a nice next challenge for you - and a very serious one. I suggest you do it!