Quick Draw Game VS Scale Nucleus

Right, but for a square, you have to add 8 samples, not 2, to handle the 4 starting points and 2 directions, but this does not account for the users who multi-stroke > Different strokes... I see what you did there :] I'm definitely in the reduce user burden camp. https://quickdraw.withgoogle.com/ is a good baseline to start from for a more resilient gesture recognizer. - Source: Hacker News / 6 months ago

Https://quickdraw.withgoogle.com/ Its like a drawing game, where it says soemthing like necklace and you have to draw what it says. Source: 9 months ago

At the suggestion of some of my pencil pals, I am trying DRAW IT (by Kwalee). It's a fast, party style game that seems to have a large (always on) user base. It's like Google Quick Draws ( https://quickdraw.withgoogle.com) with a learning AI judging you on your (very) quick sketches. I will miss the slower, patient, play-by-mail DS! brought... And also the massive potential to go wild the original DS! Had with... Source: 10 months ago

I love social experiments like that, makes you think about our own behavior. On a side note, I am always amazed to the kind of representation bias trap we all fall into: we always picture things the way we commonly know about it/remember it (see the NY museum pics in the video). One can experience the same creepy sense by playing QuickDraw[1] and watching sketches by others. For computer vision practitioners, no... - Source: Hacker News / 11 months ago

“Quick Draw with Google” is a go-to for middle school— I haven’t tried it with high school yet. That’s if there’s some sort of smart board available. Otherwise, I just let kids know that if they’ve completed what’s left by the teacher, they can work on other classes or have free time as long as they keep the noise level down so everyone else can finish. I personally don’t mind the kids chit-chatting, but I’ve had... Source: about 1 year ago

At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago

To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago