Synthetic data is on the rise in artificial intelligence.�It's going to make AI cheaper, better and less biased.It's also very obtainable and usable. In a short while, it has gone from being an experimental technology. To something, I would...
Synthetic data is on the rise in artificial intelligence.�It's going to make AI cheaper, better and less biased.
It's also very obtainable and usable. In a short while, it has gone from being an experimental technology. To something, I would not hesitate to use for production AI solutions.�
To illustrate that, I will build an AI that can classify the difference between apples and bananas. I will only use images of the two classes generated by another AI - In this case, using DALL-E Mini.
An Apple or Banana recognizer�
I will build an image classifier using only easy-to-access, free AutoAI tools.
Generating data
We need around 30 images of each label, bananas and apples.
We will be using DALL-E Mini, an open-source version of NVIDIAs text-to-image model DALL-E 2.
To generate the images, you can go to https://huggingface.co/spaces/dalle-mini/dalle-mini. Here you can prompt the text-to-image model with queries such as:
"Banana on table"
"Banana on random background"
"Apple on table"
"Apple on random background"
Try to match the background you will be testing on.
The response should look like this:
Generate around 30 images of each label and save them.
Creating the model
To create the model, we will be using the tool�Teachable Machine.�Teachable machine has�
Open Teachable Machine and choose Image project and then�Standard image model.
Names your classes Banana and Apple.
Upload your images from DALL-E Mini to the respective classes.
Press�Train.�Training will only take a few seconds.
Testing the model
Now you can try the model showing a banana or an apple via the webcam view.
As you can see, it works. The model has been trained only using synthetic data. I think it's remarkable that training models work with only synthetic data.
It suggests a future with significantly lower costs of building AI solutions. That means more people can build AI and utilize the possibilities of the technology.
A fascinating future!
For more tips, sign up for the book here:�https://www.danrose.ai/book.
