Have I Been Trained?

Web App

Check if your image has been used to train popular AI art models.

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1 capabilities

Capabilities1 decomposed

image training dataset check

Medium confidence

This capability allows users to upload an image and checks it against a database of images used to train various AI art models. It utilizes a reverse image search algorithm combined with a database of known training datasets, enabling users to identify if their image has been included in the training data of popular models. The implementation leverages cloud storage for scalability and efficient querying of large datasets, ensuring quick responses to user queries.

Solves for

I want to check if my image has been used in AI art model training.How can I verify the usage of my artwork in AI datasets?Is there a way to find out if my photo is part of any AI training data?

Best for

artists concerned about copyright and usage of their work

photographers wanting to protect their images

developers building tools for image rights management

Requires

Internet connection

web browser

Limitations

Database may not cover all AI models, leading to potential false negatives.

Image processing may take longer with high-resolution files.

What makes it unique

Utilizes a comprehensive and regularly updated database of training images from multiple AI art models, ensuring a broad coverage and accuracy in results.

vs alternatives

More extensive dataset coverage compared to similar tools, which may only focus on a limited number of models.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Best For

✓artists concerned about copyright and usage of their work
✓photographers wanting to protect their images
✓developers building tools for image rights management

Known Limitations

⚠Database may not cover all AI models, leading to potential false negatives.
⚠Image processing may take longer with high-resolution files.

Requirements

Internet connectionweb browser

Input / Output

Accepts: image

Produces: text, structured data

UnfragileRank

Adoption5%(25% weight)

Quality2%(25% weight)

Ecosystem15%(10% weight)

Match Graph25%(35% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.