| task_categories: | |
| - image-to-image | |
| license: cc-by-nc-4.0 | |
| tags: | |
| - image-enhancement | |
| - hdr | |
| - multi-exposure | |
| # UNICE Dataset Description | |
| This is the dataset released with the paper: [UNICE: Training A Universal Image Contrast Enhancer](https://huggingface.co/papers/2507.17157). | |
| The UNICE dataset is crucial for training a universal and generalized model for various image contrast enhancement tasks, free of costly human labeling. It comprises HDR raw images used to render multi-exposure sequences (MES) and corresponding pseudo sRGB ground-truths via multi-exposure fusion. | |
| **Code:** [https://github.com/RuodaiCui/UNICE](https://github.com/RuodaiCui/UNICE) | |
| ## 1. `UNICEdataset.zip` | |
| - **Type**: Multi-Exposure Sequences (MES) | |
| - **Content**: sRGB images rendered from HDR raw images using an emulated ISP pipeline. | |
| - **Structure**: Each sequence contains multiple images of the same scene with varying exposure values (EVs), from -3EV to +3EV. | |
| - **Purpose**: Serves as input data for training and evaluating exposure and contrast enhancement models. | |
| ## 2. `pseudoGT.zip` | |
| - **Type**: Pseudo Ground Truths | |
| - **Content**: High-quality sRGB images generated by fusing the MES using an ensemble of multi-exposure fusion (MEF) techniques. | |
| - **Purpose**: Used as the target output (pseudo-GT) for supervised training of enhancement models. | |
| ## Sample Usage | |
| To download the dataset using Git LFS: | |
| ```bash | |
| git lfs install | |
| git clone https://huggingface.co/datasets/lahaina/UNICE | |
| ``` | |
| After downloading, you will find `UNICEdataset.zip` and `pseudoGT.zip`. For model training (e.g., as described in the associated code repository), you would typically extract these files and configure your `dataset_folder` to point to the extracted data. For instance, you might place the extracted contents into a directory like `data/exposure` and use it with the training scripts. |