HomeArticlesHow Computer Vision Works How Computer Vision Works By Joseph Donaldson January 6, 2020 Articles, Blog 37 Comments Tags:cloud developers, cloud video intelligence API, cloud vision API, CNNs, convolutional neural nets, GCP, Google cloud, google cloud platform, google cloud vision, google developers, how cnns work, how computer vision works, how do CNNs work?, how do RNNs Work?, how does computer vision work?, how rnns work, human vision, Machine Learning, ML, neural network, recurrent neural network, rest api, RNNs, video intelligence apis, vision API Related Posts 【四幸丸-紙蛇】Paper snake convection 紙蛇熱對流，讓學生更了解熱對流方向。有用到火實驗注意安全 How to Treat Chemical Splash in the Eye | First Aid Training What is a multifocal lens (IOL)? About Author admin 37 Comments Adam Smith April 20, 2018 I loved the explanation, but I still would rather build and train my own model. Reply Kevin Cho April 20, 2018 Thank you for sharing this cool video! 👨🖐 Reply Ashish Awasthi April 21, 2018 Thanks Sara for simple explanation of computer vision and API details. A small correction though, evolution of vision as per https://en.wikipedia.org/wiki/Cambrian#Dating_the_Cambrian was less than "billions of years ago". Reply Jon Deaton April 26, 2018 viridis <3 Reply John Lin May 11, 2018 i don't see the creative power in evolution Reply Denis TRUFFAUT June 9, 2018 Highly professional video. Just miss an explanation on human labelling assisted by Google (billed or free feature ?) Reply patrizia casini June 15, 2018 E' STATO VERAMENTE INTERESSANTE Reply Gregor Samsa June 20, 2018 This lady makes me feel a bit uncomfortable with her creepy facial mimic, but I appreciate the content. Reply TCS LS - The Design Lab June 26, 2018 Really digging this video. We would like to use this within our organization for a business transformation course, with your permission of course! Reply Anthony Silva July 8, 2018 What is the best programming language to learn for computer vision? I'm a college student who is fairly proficient in C++ but am not sure if I should focus more on learning Java or Python to increase my chances of landing a job working in this field after college. I'm an applied mathematics major and have taken several classes in linear algebra, real analysis, complex analysis, probability, numerical analysis/methods and differential equations. Reply Megatron July 23, 2018 Honestly, Google didn't get the data. Google gave us Google photos with unlimited storage and we uploaded millions of photos from millions of users. You got us free photos backup to we give you billions of photos to analyse. Reply Roxana Noelia August 19, 2018 Great great video Reply Aman Raj September 13, 2018 Awesome Reply abooda Aboood September 17, 2018 Please download the translation in Arabic Reply Luis M September 24, 2018 Excellent video! Reply Amirali Sa October 8, 2018 I wouldn't think i'd be interested in this Reply Amirali Sa October 8, 2018 This is amazing Reply Benjamin Thomas October 23, 2018 sheepdogs and mops LOL! Reply Joel Jacob November 20, 2018 I loved the video Reply DO YEOP KIM December 14, 2018 Even I starts my master's course in CV soon, I couldn't explain CV in my speak. This video gave me a help to organize what is CV and how it works! Reply Leonardo Rivillini December 19, 2018 hahah very happy person, no ? :´p Reply smraghu81 December 28, 2018 Does any one knows what software they used to prepare this video. Kindly suggest. Reply Off/Load January 7, 2019 Thank You Sara Robinson! Reply Saurabh Saneja March 16, 2019 It was awesome.. thanks Google.. please let her do more machine learning tutorials.. she's amazing at that Reply Studio1618 March 24, 2019 Thanks, Sara. Your video is very helpful to me. Reply Sans Techie _Official May 28, 2019 You're just training your model with million users photos , if not how can you train it to that much extent … You guys have large computing power and million users data that's why it's possible to train your model quickly… Reply Swayam Rout June 5, 2019 Computer vision enthusiasts pls comment below to collaborate and work on a project Reply fiza mukhtar June 22, 2019 Nice Reply fiza mukhtar June 22, 2019 Anyone suggest me the latest research topic in computer vision Reply Dallas Kelley June 25, 2019 This is amazingly inefficient and a surprisingly dumb way to go about image detection. Reply Karan Acharya August 7, 2019 I loved the sound design here. Reply DINGKANG WANG August 15, 2019 Computer vision is not just Machine learning ok? This video gives me a feeling machine learning is the only way how computer vision works. Reply C 4 Code September 13, 2019 just get it now thanks to you Reply Float Circuit October 7, 2019 Wow, the model you called a Recurrent Neural Network sounds like a flavor of a project I'm working on. Thanks, I didn't know there was a name for it ☺️ Reply Float Circuit October 7, 2019 You know how a little kid might see a cat 🐈 one time and in the future it'll be able to tell that other cats are cats. And one day it sees a dog and can immediately tell that something's different. That's what I'm interested in: how do we cut down the data requirement from billions of examples to just one or two? Imagine a self driving car that could appreciate context in real-time despite not having a really fine tuned Neural net that's based on a crazy amount of brittle test data. That's what I'm working on as the founder of an extremely early, unnamed startup. If we don't need 5 billion examples of cars being driven to do a good job, neither should machines. We need to build machines like babies that see cats running and just "get it". That's the dream. Reply Float Circuit October 7, 2019 Building your own computer vision system is, frankly, much more satisfying. And you control every aspect of the technology. Reply Manikandan S October 18, 2019 Gina Linetti left 99 to join GCP Reply Add a Comment Cancel reply Your email address will not be published. Required fields are marked *Comment:*Name:* Email Address:* Save my name, email, and website in this browser for the next time I comment.