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  ---
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- license: mit
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  language:
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  - en
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  pipeline_tag: image-to-image
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  library_name: pytorch
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  datasets:
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- - coco
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  metrics:
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  - psnr
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  - ssim
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  ### Model Description
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- `colorize-unet-pytorch` is a **PyTorch U‑Net** model for **automatic image colorization** using the **LAB color space**.
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  It takes the **L\*** (grayscale/lightness) channel as input and predicts the **a\*** and **b\*** chrominance channels, which are then combined with the original L\* channel and converted back to RGB to produce a final colorized image.
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  - **Developed by:** Ammar Ahmed, Ahmad Naeem, Khurram Imran
 
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  ---
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+ license: unlicense
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  language:
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  - en
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  pipeline_tag: image-to-image
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  library_name: pytorch
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  datasets:
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+ - rafaelpadilla/coco2017
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  metrics:
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  - psnr
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  - ssim
 
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  ### Model Description
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+ `colorization-model-unet` is a **PyTorch U‑Net** model for **automatic image colorization** using the **LAB color space**.
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  It takes the **L\*** (grayscale/lightness) channel as input and predicts the **a\*** and **b\*** chrominance channels, which are then combined with the original L\* channel and converted back to RGB to produce a final colorized image.
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  - **Developed by:** Ammar Ahmed, Ahmad Naeem, Khurram Imran