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dataset_card.yaml

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+pretty_name: UNICE Dataset
+tags:
+  - image-enhancement
+  - multi-exposure
+  - low-light
+  - exposure-correction
+  - computer-vision
+  - pseudo-ground-truth
+  - contrast-enhancement
+license: cc-by-nc-4.0
+task_categories:
+  - image-enhancement
+language:
+  - en
+dataset_info:
+  features:
+    - name: input_image
+      dtype: image
+    - name: pseudo_gt
+      dtype: image
+  splits:
+    - name: train
+      num_bytes: ~
+      num_examples: ~
+  size_in_bytes: ~
+dataset_type: image
+annotations_creators:
+  - machine-generated
+source_datasets:
+  - original
+pretty_name: UNICE Multi-Exposure Dataset
+description: >
+  The UNICE dataset is a large-scale dataset for universal image contrast enhancement.
+  It contains multi-exposure sequences (MES) rendered from HDR raw images and their corresponding
+  pseudo ground truths generated via multi-exposure fusion (MEF). The dataset supports training
+  models for low-light enhancement, exposure correction, backlit enhancement, and LDR-to-HDR transformation.