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  This dataset contains a cleaned collection of high-resolution portrait, nature, object, texture, and geometric images prepared for training and evaluating lightweight image restoration, anti-aliasing, and texture refinement models.
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- It was prepared as part of the Solricks DLAA / TextureNet experimentation workflow, especially for improving edge quality, fine detail stability, texture preservation, geometric consistency, and visual cleanup in image and video pipelines.
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  ## Dataset Structure
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  This dataset contains a cleaned collection of high-resolution portrait, nature, object, texture, and geometric images prepared for training and evaluating lightweight image restoration, anti-aliasing, and texture refinement models.
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+ It was prepared as part of the `DLAANet.safetensors` and `DLAATexture.safetensors` experimentation workflow, especially for improving edge quality, fine detail stability, texture preservation, geometric consistency, and visual cleanup in image and video pipelines.
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  ## Dataset Structure
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