Datasets › ExDark

ExDark (Exclusively Dark Image Dataset)

Introduced by Yuen Peng Loh et al. in Getting to Know Low-light Images with The Exclusively Dark Dataset archive 2025-07-28

The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions) with 12 object classes (similar to PASCAL VOC) annotated on both image class level and local object bounding boxes.

Source: https://github.com/cs-chan/Exclusively-Dark-Image-Dataset

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 58. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Toward Highly Efficient Semantic-Guided Machine Vision for Low-Light Object Detection 1 2 20 Dec 2024 not harvested
WARLearn: Weather-Adaptive Representation Learning 1 1 21 Nov 2024 not harvested
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection 2 1 6 May 2022 ran 1 of 4 samples (3 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ExDark

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections