---
task_categories:
- image-to-image
---

# MobileSpectralCCDataset

This dataset accompanies the paper [Leveraging Multispectral Sensors for Color Correction in Mobile Cameras](https://huggingface.co/papers/2512.08441), presented at CVPR 2026.

[Project Page](https://lucacogo.github.io/Mobile-Spectral-CC/) | [GitHub Repository](https://github.com/LucaCogo/Mobile-Spectral-CC)

## Overview

The **MobileSpectralCCDataset** is a physically grounded synthetic dataset designed to support end-to-end color correction research using auxiliary multispectral (MS) sensors. It was constructed by aggregating and repurposing hyperspectral reflectance data from two publicly available datasets: [KAUST](https://fuqiangx.github.io/publication/li2021multispectral/) and [BJTU-UVA](https://arxiv.org/abs/2412.14925).

### Key Features:
- **Sensor Simulation**: Includes simulated high-resolution RGB and low-resolution multispectral measurements across a wide range of illuminants and camera spectral sensitivities.
- **Ground Truth**: Color references are rendered under the standard D65 illuminant.
- **Geometric Inconsistency**: Includes a misaligned version of the data featuring spatial offsets and realistic warping transformations (derived from the Zurich dataset) to mimic real-world dual-sensor system alignments.

## Dataset Structure

The dataset consists of pairs of high-resolution RGB images and auxiliary low-resolution MS images, along with their corresponding ground-truth color-corrected versions. For more details on the generation process, please refer to the [official GitHub repository](https://github.com/LucaCogo/Mobile-Spectral-CC).

## Citation

If you use this dataset in your research, please cite:

```bibtex
@inproceedings{leveraging2026cogo,
  title={Leveraging Multispectral Sensors for Color Correction in Mobile Cameras}, 
  author={Luca Cogo, Marco Buzzelli, Simone Bianco, Javier Vazquez-Corral, Raimondo Schettini},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2026}
}
```