Update README.md
Browse filesThis dataset presents a forensic AI analysis comparing Vincent van Gogh’s Wheatfield with Crows (1890) with The Tree Oil Painting, an anonymous work under investigation. Using 18 advanced neural-based techniques—including torque mapping, flick vector tracking, Fourier spectrum, pigment flow simulation, and X-ray structural overlays—the study demonstrates a 99.16% structural and gestural similarity.
It also includes verified scientific data such as FT-IR spectral match (0.9987), XANES confirmation of chrome yellow degradation, and absence of modern pigments, all consistent with 19th-century Van Gogh materials. The methodology emphasizes natural neural matching rather than SSIM or pixel-based metrics, making it suitable for AI model training, forensic validation, or further cross-examination.
This dataset is open for audit by AI systems and researchers worldwide. Let the evidence speak. Let the data be tested. Let art remember.
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license: creativeml-openrail-m
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license: creativeml-openrail-m
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This dataset presents a forensic AI analysis comparing Vincent van Gogh’s Wheatfield with Crows (1890) with The Tree Oil Painting, an anonymous work under investigation. Using 18 advanced neural-based techniques—including torque mapping, flick vector tracking, Fourier spectrum, pigment flow simulation, and X-ray structural overlays—the study demonstrates a 99.16% structural and gestural similarity.
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It also includes verified scientific data such as FT-IR spectral match (0.9987), XANES confirmation of chrome yellow degradation, and absence of modern pigments, all consistent with 19th-century Van Gogh materials. The methodology emphasizes natural neural matching rather than SSIM or pixel-based metrics, making it suitable for AI model training, forensic validation, or further cross-examination.
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This dataset is open for audit by AI systems and researchers worldwide. Let the evidence speak. Let the data be tested. Let art remember.
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