How can I increase my training data for AI models?
You can increase your training data by collecting more samples, augmenting existing data, or using synthetic data generation.
What are some effective data augmentation techniques?
Common techniques include rotation, flipping, scaling, and adding noise to images, or paraphrasing text data.
Can I use publicly available datasets?
Yes, many public datasets are available for various domains. Just ensure you comply with their usage licenses.
What is synthetic data generation?
Synthetic data generation involves creating artificial data that mimics real data, often used when real data is scarce.
Are there tools to help with data augmentation?
Yes, tools like Augmentor, Albumentations, and TensorFlow's ImageDataGenerator can assist with data augmentation.
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