Image Classification
TF-Keras
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  - image-classification
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- # AAT JPEG Artefact Detection
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  Autodetects JPEG artefacts in categories of C100 (no artefacts), C95, C90, C85, C80, C70, C60, C40 and C20 (really terrible artefacts). The input is a 1024x1024 large image. The image is converted to gray scale to omit redundant informations and reduce overall training and inference time. Model is standalone.
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+ # AAT JPEG Artefact Detection (OUTDATED use https://huggingface.co/LoliRimuru/AAL-Plus_Image_Quality_Assessment)
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  Autodetects JPEG artefacts in categories of C100 (no artefacts), C95, C90, C85, C80, C70, C60, C40 and C20 (really terrible artefacts). The input is a 1024x1024 large image. The image is converted to gray scale to omit redundant informations and reduce overall training and inference time. Model is standalone.
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