Dear the artificial intelligence community I am pleased to introduce DIDA dataset, which is the largest handwritten digit dataset. I will be grateful, if you could help me to introduce this dataset to the community. Thanks
Thank you again Keymakr for sponsoring this video! Visit their website here: Keymakr.com Read the article: medium.com/what-is-artificial-intelligence/building-datasets-for-your-ai-acd468cffb7d
thanks for the video, very insightful. what would you recommend to someone who would like to be a computer vision/deep learning developer in the next 5 years? lets say i have only 2 options/routes: (1) get a general software engineering job or (2) get a data science job? knowing that this field requires a lot of data. Thanks!
I think both are frequently interchangeable jobs, I am an engineer initially, and I do mostly data science and AI research! You can learn on the job and build your experience outside of your studies/jobs with personal projects! You should try what looks the most fun to you! The most important thing is to love what you do, and only you can know this! :) If you are sure you want to get into AI and deep learning, I think data science is the best choice. Understanding data and models is the most important thing in deep learning, way more than coding skills which you can find on stack overflow, but this is only my opinion! I'm sure you'll take the right decision for you!
I'm sorry you think this way! Keymakr gave me carte blanche on what to say in the video about what data annotation is. Which is a subject I wanted to cover anyways. I wanted to make a clear and simple explanation of this term and showcase some great high quality examples, which they provided for the video! It would've been the same explanation with or without them sponsoring the video, but thank you for your honesty feedback!
Removing Data: Isn't data cleaning done when your AI can't handle realistic data and needs "you" in the picture to remove stuff you can't code properly ex. you remove all commas because you can't code what to do/learn from them hence will show less embarrassment in end result outputs it generates? Adding Data: And data labbeling is cat image = cat text, but in real life data you'd hear this anyway, though i guess this one is a human one lol. But as for object segmentation/ location/ recognition this can be done all by just AI.
Well, in order to be done by an AI, you need to train the AI for it. And to train it, you need this kind of annotated data! And data cleaning is pretty much everything related to the data, removing the misclassification, the errors in the annotations, balancing it, etc.
![The moment we stopped understanding AI [AlexNet]](http://i.ytimg.com/vi/UZDiGooFs54/mqdefault.jpg)
![The moment we stopped understanding AI [AlexNet]](/img/tr.png)
Get your copy of "Building LLMs for Production": amzn.to/4bqYU9b
awesome video thanks !
its pretty cool seeing Emeryville in some of these segments too!
Dear the artificial intelligence community
I am pleased to introduce DIDA dataset, which is the largest handwritten digit dataset. I will be grateful, if you could help me to introduce this dataset to the community.
Thanks
Thank you again Keymakr for sponsoring this video!
Visit their website here: Keymakr.com
Read the article: medium.com/what-is-artificial-intelligence/building-datasets-for-your-ai-acd468cffb7d
Great video !!
Thank you very much! :)
thanks for the video, very insightful. what would you recommend to someone who would like to be a computer vision/deep learning developer in the next 5 years? lets say i have only 2 options/routes: (1) get a general software engineering job or (2) get a data science job? knowing that this field requires a lot of data. Thanks!
senpai please notice me lol
I think both are frequently interchangeable jobs, I am an engineer initially, and I do mostly data science and AI research! You can learn on the job and build your experience outside of your studies/jobs with personal projects!
You should try what looks the most fun to you! The most important thing is to love what you do, and only you can know this! :)
If you are sure you want to get into AI and deep learning, I think data science is the best choice. Understanding data and models is the most important thing in deep learning, way more than coding skills which you can find on stack overflow, but this is only my opinion! I'm sure you'll take the right decision for you!
Sir I have 2Years Experience Data annotation i looking for switch to another company suggested me sir
which company were you working for
Wow, you should have said this all video was sponsored right at the start. What a waste of time.
I'm sorry you think this way! Keymakr gave me carte blanche on what to say in the video about what data annotation is. Which is a subject I wanted to cover anyways. I wanted to make a clear and simple explanation of this term and showcase some great high quality examples, which they provided for the video! It would've been the same explanation with or without them sponsoring the video, but thank you for your honesty feedback!
Removing Data: Isn't data cleaning done when your AI can't handle realistic data and needs "you" in the picture to remove stuff you can't code properly ex. you remove all commas because you can't code what to do/learn from them hence will show less embarrassment in end result outputs it generates?
Adding Data: And data labbeling is cat image = cat text, but in real life data you'd hear this anyway, though i guess this one is a human one lol. But as for object segmentation/ location/ recognition this can be done all by just AI.
Well, in order to be done by an AI, you need to train the AI for it. And to train it, you need this kind of annotated data!
And data cleaning is pretty much everything related to the data, removing the misclassification, the errors in the annotations, balancing it, etc.
first! ur the best