How Computer Vision Works 

Building your own computer vision system is, frankly, much more satisfying. And you control every aspect of the technology.

The outcome of this video: don't dare to understand how computer vision works, just use our API :)

most informative ad i have ever seen😏

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.

There are some inaccuracies in the video but it does paint the general picture of the computer vision. Some errors: 2:55 low-level patterns (like edges), high-level ones are higher level in the semantical sense so say edges -> circles -> eyes -> head going up the network layer hierarchy. 4:40 temporally sensitive model doesn't have to be RNN it can be say C3D (convolutional 3D model)

Billions of years are achieved in just few decades. It's so exciting.

Thank for your kind explanation. This is one of the best product introduction video that I’ve watched for quite a while. You combined the theory of machine learning - CNN, RNN into your digital products. Keep up the good work. As a novice of machine learning, I hope to learn more from you.

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.

Computer vision is not just Machine learning ok? This video gives me a feeling machine learning is the only way how computer vision works.

I wanna cry. Amazing explanation 😍👏🏽

I loved the sound design here.

WONDERFUL EXPLANATION

It was awesome.. thanks Google.. please let her do more machine learning tutorials.. she's amazing at that

I loved the explanation, but I still would rather build and train my own model.

Thanks Sara for simple explanation of computer vision and API details. A small correction though, evolution of vision as per en.wikipedia.org/wiki/Cambrian#Dating_the_Cambrian was less than "billions of years ago".

Getting GCP certified and started to get tired for the day, then came across this video and am back to interested

hi, Google, I really have something i want to ask the AI community. i am not really a developer, but a friend... and i feel there should be more to AI vision than regular cameras... i started think about the issue because my need to have a good quality scan of my old newspapers collections... the quality of smart phone scan, even with google app, is just not good enough comparing to flatbed scan.... and i thought if we can turn the entire screen of smart phone as the scanning glass as in flatbed, it would be so much better quality... most of all, it would ensure the paper stay in perfect flat shape and every detail would be evenly scanned with extreme high density details... the technology of adding some light sensor to the smart phone screen wouldn't be a huge breakthrough.... and here really is the connection i am thinking about of AI vision, if smart phone have such flatbed scanning function, it would be like a sense of touching something with a hand, so in a way, AI not only could have the eye vision through camera, it could gain the visions of physical contact by scanning.... inch by inch, square by square.... and by doing so, it would improve the AI's understanding of the world in a much more expanded dimension.... and in the future if the smart phone screen could be soft flexible, it would really be like the skin of AI, it will feel and observe the world in a way human can not even imagine... i know my writing isn't so good, but i believe this thought of mine is really worthy of google's consideration....

Wow. That was quick and precise analysis of machine and deep learning.

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 ☺️

Very nicely explained. Thanks a lot!

I am currently recruiting for Computer Vision Engineers for a Robotics Manufacturer in Ohio. This is fascinating.

Thanks, Sara. Your video is very helpful to me.

Highly professional video. Just miss an explanation on human labelling assisted by Google (billed or free feature ?)

Fantastic explanation.

excellent explanation

Thank you for sharing this cool video! 👨🖐

Does any one knows what software they used to prepare this video. Kindly suggest.

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.

This lady makes me feel a bit uncomfortable with her creepy facial mimic, but I appreciate the content.

She is brilliant.

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!

Computer vision enthusiasts pls comment below to collaborate and work on a project

Deep learning/CNN helps the computer understand 'image content' in the same way as our human brain does great!.

Excellent video!

thank you well explained

Could you please share those slides?? It will be helpful to us

Computers have eyes. Great. ❤

Amazing !!

Thank You Sara Robinson!

What's the name of the music in the background??

Thanks🙏

She looks so excited

Great Info

Very nice

just get it now thanks to you

Anyone suggest me the latest research topic in computer vision

Thank you Gina

Great great video

Really digging this video. We would like to use this within our organization for a business transformation course, with your permission of course!

I do research on subject , I cant explain better

E' STATO VERAMENTE INTERESSANTE

3:45 really how?

I loved the video

Google is good at making in-ad videos :)

Awesome

Nice

Thank you google🥺

it's cool to always throw around the words "machine learning", but it would be even better if we actually educated CS grads with signals and systems theory. No matter how much you know about ML you'll never understand why it works if you don't understand signal (including 2d signal like images) processing.

Please download the translation in Arabic

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...

google when are you going to take apple's head off? xD>>???

WOW

sheepdogs and mops LOL!

SUPER 😇😇😇😇

why not start from the big bang?

i don't see the creative power in evolution

Now Computer vision is used to make PC cheats like aimbot available on Console. 🙃

1:20 lmao

What if we built software instead of shifting to cloud😂😂😂😂

hahah very happy person, no ? :´p

amazon aws

HELP

viridis

This is deep learning not computer vision ..

You can't create and use buzz word to impress people. Bottom line no matter how hard google tries it will remain a search engine company and its variant. Every of their effort is optimize search there is nothing innovative just brute force.

👉🧠r a m 🕵️😂😊

This is amazingly inefficient and a surprisingly dumb way to go about image detection.

I just want to know if we can get a waifu chatbot to have computer vision?