Joshyxwa/techjam2026

TechJam 2026 Dataset Summary This public research draft contains 44,671 canonical images for binary AI-image authenticity experiments. Every row has a portable image path, fixed split, source and generator fields, lineage identifiers, integrity hashes, image properties, and processing history. It supports reproducible baselines and error analysis; it is not a deployment benchmark or a real-world accuracy claim. Composition Labels… See the full description on the dataset page: https://huggingface.co/datasets/Joshyxwa/techjam2026.

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