Datasets › AODRaw

AODRaw (Adverse condition Object Detection with RAW images)

Introduced by Zhong-Yu Li et al. in Towards RAW Object Detection in Diverse Conditions24 Nov 2024 archive 2025-07-28

We introduce the AODRaw dataset, which offers 7,785 high-resolution real RAW images with 135,601 annotated instances spanning 62 categories, capturing a broad range of indoor and outdoor scenes under 9 distinct light and weather conditions. AODRaw supports RAW and sRGB object detection.

Benchmarks archive 2025-07-28

All 1 leaderboard 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.

First row (archive order)PaperCode
Object Detection AODRaw Cascade RCNN (ConvNext-T, RAW pre-training) box AP 34.8 Towards RAW Object Detection in Diverse Conditions lzyhha/aodraw 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper 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 1. 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
Towards RAW Object Detection in Diverse Conditions 1 1 24 Nov 2024 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • AODRaw

1 variant name, as the archive lists them.

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