What data do I need to train an AI model?

What data do I need to train an AI model?

To train an AI model, you'll need a large dataset relevant to the task, including labeled examples.

What types of data are best for image recognition?

For image recognition, high-quality labeled images with diverse examples are essential for effective training.

How much data is considered enough?

The amount of data needed varies, but generally, more data leads to better performance. Thousands of examples are a good start.

Can I use synthetic data?

Yes, synthetic data can be useful, especially when real data is scarce, but it should be representative of real-world scenarios.

What if my data is biased?

Bias in data can lead to biased models. It's important to analyze and mitigate bias during data collection and preprocessing.