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Anonymous-OLiVES/OLiVES

OLiVES: An Outdoor Low-Light Video Benchmark for Enhancement and Segmentation OLiVES is a new benchmark for low-light video enhancement and video object segmentation. It contains over 25,000 aligned normal/low-light frames and over 46,000 video object segmentation annotations. LLVE The video folder names and frame names for aligned frames are identical in input/ (low-light videos) and gt/ (normal-light videos) VOS Please run python… See the full description on the dataset page: https://huggingface.co/datasets/Anonymous-OLiVES/OLiVES.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Dataset Card

OLiVES: An Outdoor Low-Light Video Benchmark for Enhancement and Segmentation

OLiVES is a new benchmark for low-light video enhancement and video object segmentation. It contains over 25,000 aligned normal/low-light frames and over 46,000 video object segmentation annotations.

LLVE

The video folder names and frame names for aligned frames are identical in input/ (low-light videos) and gt/ (normal-light videos)

VOS

Please run python VOS_dataset_mapper.py to create necessary videos for VOS task.