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LoliRimuru/AAT-JPEG-Artefact-Detection
AAT-JPEG-Artefact-Detection is a image classification model from LoliRimuru. Use it when you need a label for an image. It is set up for tf-keras. The card lists the license as creativeml-openrail-m.
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 omi…
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From the Hugging Face model README
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.
Around 60k of images was used during training.
<img src="https://huggingface.co/JosefJilek/AAT-JPEG-Artefact-Detection/resolve/main/v1.0-stats.png"></img>