“Quick Draw!” (你来笔画我来猜)是一款 2016 年 Google I/O 上发布的游戏。在这款游戏中,玩家之一会根据提示的物件名字画出其图像,然后由另一方的玩家来看图猜测所绘制的是什么内容。你可以将其理解为涂鸦版的“你来比划我来猜”。 2017 年,Google Research 的 Magenta 团队将这款游戏的点子更进一步。他...
Quick, Draw!是Google推出的一款很好玩的AI涂鸦游戏,玩家需要在20秒内画出指定内容,例如鸭子、冰箱、苹果等,它的神经网络会实时识别你的涂鸦。 最近Google在kaggle上发布了优化QuickDraw预测识别能力的比赛,Quick, Draw! Doodle Recognition Challenge,本篇博文就来是分享涂鸦识别的心得。与以往同类比赛不同的是,这次的...
https://ai.googleblog.com/2018/09/introducing-kaggle-quick-draw-doodle.html Kaggle挑战赛地址: https://www.kaggle.com/c/quickdraw-doodle-recognition “猜画小歌”数据集: https://quickdraw.withgoogle.com/data —完— 欢迎大家关注我们的专栏:量子位 - 知乎专栏 诚挚招聘 量子位正在招募编辑/记者,工...
Quick Draw Quick Draw is aninteractive, web-game experiencedesigned by Google's digital engineers. The site is meant to test, demonstrate, and raise awareness of Google's doodle recognition software, as well as the capabilities of their design team at large. The design of the site is meant ...
urlhttps://github.com/googlecreativelab/quickdraw-dataset sameAshttps://github.com/googlecreativelab/quickdraw-dataset descriptionThe Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game "Quick, Draw!". The drawings were captured as ...
Google Quick, Draw! doodle recognition model implementation in Chainer chainerquickdraw UpdatedMar 14, 2018 Python Load more… Add a description, image, and links to thequickdrawtopic page so that developers can more easily learn about it. ...
人工智能识别涂鸦-Quickdraw 真是个聪明的家伙!网站可以根据关键词来识别你画的涂鸦是否正确,相信我,它真的比“你画我猜”游戏里的玩家还厉害。。。 传送门https://quickdraw.withgoogle.com/ 方法 进入网站后,直接开始! 网友135790提供趣站
The Quick, Draw! game played on an iPhone.Credit: Google/screengrab My first time playing on the computer, I got a measly three out of six (see above). My iPhone trial went a bit better, but that's probably because the objects were fairly simple. ...
19 May 2020 29 A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design 26 Sep 2022 9 Previous 1 2 3 4 5 Next Showing 1 to 10 of 47 papers Similar Datasets QuickDraw DoodleUINet Modalities Images Languages
DoodleNet 是一个涂鸦分类器(CNN),对来自Quickdraw数据集的所有345个类别进行了训练。 Github项目地址: https://github.com/yining1023/doodleNet 这是我使用tensorflow.js和tensorflow进行的关于涂鸦分类器(一种卷积神经网络)的一系列实验。使用的数据来自Quickdraw数据集。