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README.md
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---
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license:
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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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metrics:
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- psnr
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- ssim
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### Model Description
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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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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
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