What is Have I Been Trained??

Have I Been Trained is a tool that lets you check whether your images have been included in the training datasets of popular AI art generation models. You upload an image, and the service searches across major datasets used to train models like Stable Diffusion and others. This addresses a real concern for artists and content creators who want to know if their work has been used without permission. The tool operates on a freemium model, giving users a basic way to check their images without paying upfront. It's particularly useful for photographers, illustrators, and digital artists who need transparency about how their work might have been used in training generative AI systems.

Key Features

Image upload and search

Submit images to check against training datasets used by popular AI art models

Dataset coverage

Scans major training datasets including those used by Stable Diffusion and similar models

Free tier access

Basic functionality available without payment

Clear results display

Shows whether your image appears in training data and which datasets contain it

Batch checking capability

Process multiple images to understand your full exposure across datasets

Pros & Cons

Advantages

  • Addresses a genuine need for artists wanting to know if their work was used in AI training
  • Free tier makes it accessible without requiring immediate payment
  • Straightforward interface focused on a single, clear purpose
  • Helps creators understand their digital footprint in AI model training

Limitations

  • Coverage limited to specific major models; not all datasets or smaller models may be included
  • Results depend on the completeness and accuracy of dataset records, which may be incomplete
  • Finding your image listed doesn't necessarily provide legal remedies or removal options

Use Cases

Artists checking if their portfolio work was included in AI training datasets

Photographers verifying whether their images appear in generative model training data

Content creators assessing their exposure before deciding on legal or licensing action

Digital artists understanding the scope of AI model training practices

Rights holders conducting due diligence on model training sources