Computer Vision
Photography Provenance Dataset
PrototypeAn evolving research project around image authenticity, provenance metadata, and the future of trustworthy photography on the internet.
PythonC2PAMetadataDataset DesignResearch
Background
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As generative imagery gets easier to produce, the value of authentic capture increases. This project explores what a practical provenance workflow might look like for independent photographers.
Current Focus
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- Source image organization and capture metadata normalization
- C2PA-related note collection and implementation review
- Dataset structure for verification-oriented experiments
Open Problems
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The hardest part is not only technical verification, but also designing a workflow that normal creators would actually use.
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