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# 🪨 Core Sample Main Fraction Classifier
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This multi-label classification model was fine-tuned for automated visual analysis of soil core samples, and trained / validated / tested on the `grano1/core_sample_image_data` dataset available via the HuggingFace eco-system. The model aims to predict one of the following four class labels from cropped core sample images (300x300 pixels):
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- 🟤 Clay (T)
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- 🤎 Silt (U)
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- 🟡 Sand (S)
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# 🪨 Core Sample Main Fraction Classifier
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This multi-label classification model was fine-tuned for automated visual analysis of soil core samples, and trained / validated / tested on the `grano1/core_sample_image_data` dataset available via the HuggingFace eco-system. The model aims to predict one of the following four class labels - termed in accordance with DIN 4023 - from cropped core sample images (300x300 pixels):
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- 🟤 Clay (T)
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- 🤎 Silt (U)
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- 🟡 Sand (S)
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