COCO is a new image recognition, segmentation, and captioning dataset. COCO has several features:. Multiple objects per image. More than 300,000 images. More than 2 Million instances. 5 captions per image. Keypoints on 100,000 people. We are pleased to announce the COCO 2017 Detection. Results will be announced at the Joint COCO and Places Recognition.
http://www.mscoco.org/
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MS COCO
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MS COCO
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Jers●●●●City , Ohio, 07302
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COCO - Common Objects in Context | mscoco.org Reviews
https://mscoco.org
COCO is a new image recognition, segmentation, and captioning dataset. COCO has several features:. Multiple objects per image. More than 300,000 images. More than 2 Million instances. 5 captions per image. Keypoints on 100,000 people. We are pleased to announce the COCO 2017 Detection. Results will be announced at the Joint COCO and Places Recognition.
mscoco.org
COCO - Common Objects in Context
http://mscoco.org/dataset
Begin by learning about the individual challenges. Compete to earn prizes and opportunities to present your work. Come to the workshops to learn about the state of the art! Download the dataset, including the dataset tools, images, and annotations. Learn about the annotation format. See cocoDemo. In either the Matlab or Python code. Develop your algorithm. Run your algorithm on COCO and save the results using the format described on this page. See evalDemo. In either the Matlab or Python code. Note: anno...
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深度学习起步 | 卢克
http://geeklu.com/2016/07/deep-learning-intro
最近流行的Prisma照片艺术化处理软件，其背后的技术也是深度学习 A Neural Algorithm of Artistic Style. Mixed National Institute of Standards and Technology 手写数字图片数据库来训练程序，最后再通过对应的测试数据来测试，得出识别率。 斯坦福大学每年都会举行一个比赛，邀请谷歌、微软，百度等 IT 企业使用 ImageNet，测试他们的系统运行情况。 上面谈到了深度学习的 多层结构，其实里面的每一层都是一些数学计算，有些层里面的节点都包含一些典型的算法，通常我们都是从 回归 相关的算法开始说起，后面会对回归算法进行详细讲解。 Published under (CC) BY-NC-SA. In categories Deep Learning.
Oktober | 2014 | mitbal
https://mitbal.wordpress.com/2014/10
M Iqbal Tawakal's snippets of life. Pemilu Presiden Indonesia 2014: Pendekatan Pembelajaran Mesin. Oktober 10, 2014. Oktober 10, 2014. Kebetulan saya kemarin bertugas menjadi salah satu petugas pelaksana pemilu luar negeri (PPLN) untuk negara Stockholm dan Latvia. Pemilu di luar negeri tentunya mempunyai nuansa yang agak berbeda dibandingkan di dalam negeri. Di luar negeri, penggunaan hak pilih dapat dilakukan melalui pos atau datang langsung ke TPS. Perlengkapan pemilu untuk yang memilih lewat pos.
Gathering common sense knowledge: how to game it? - CiML
http://ciml.chalearn.org/ciml2016/schedule/gathering-common-sense-knowledge-how-to-game-it
Gathering common sense knowledge: how to game it? Research in gathering and reasoning about common sense knowledge has recently gained in popularity. Measuring the progress of research in this multimodal space faces many challenges. In this talk we discuss the lessons learned, and remaining challenges in creating testing datasets and associated evaluation metrics.
pckwarms.ch - interesting uncommon events
http://www.pckswarms.ch/beonov14.html
Pckswarms.ch - interesting uncommon events. Most computer programmers tend to make technical decisions based on cliches they read about on the Internet, and unfortunately I don't know the cure for being dumb. - Vladimir Sedach. Bary Ritholtz's The Fine Art of Doing Nothing. A fantastic article about Colombia. In the American Way inflight magazine. Stanford does about the same thing. To fuzz windows networking. Last modified: Wed Jul 8 22:19:37 CEST 2009.
Speakers - CiML
http://ciml.chalearn.org/ciml2016/speakers
2013) and CHI (2014). Larry Zitnick is a research manager at Facebook AI Research in Menlo Park, and an affiliate associate professor at the University of Washington. Previously, he spent 12 years at Microsoft Research. His current areas of interest include object recognition, language and vision, and methods for gathering commonsense knowledge. He is one of the co-organizers of the very successful MSCOCO challenge.
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition
http://vision.stanford.edu/teaching/cs231n/project.html
CS231n: Convolutional Neural Networks for Visual Recognition. Update: Winter Quater 2015 projects. Have now been posted! The Course Project is an opportunity for you to apply what you have learned in class to a problem of your interest. There are two project options you can pick from:. Option 1: Your own project (Encouraged). Your are encouraged to select a topic and work on your own project. Potential projects usually fall into these two tracks:. IEEE Conference on Computer Vision and Pattern Recognition.
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MsCockadooodledoo - DeviantArt
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COCO - Common Objects in Context
COCO is a new image recognition, segmentation, and captioning dataset. COCO has several features:. Multiple objects per image. More than 300,000 images. More than 2 Million instances. 5 captions per image. Keypoints on 100,000 people. We are pleased to announce the COCO 2017 Detection. Results will be announced at the Joint COCO and Places Recognition.
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