Datasets › SODA-D

SODA-D

Introduced by Gong Cheng et al. in Towards Large-Scale Small Object Detection: Survey and Benchmarks28 Jul 2022 archive 2025-07-28

SODA-D is a large-scale dataset tailored for small object detection in driving scenario, which is built on top of MVD dataset and owned data, where the former is a dataset dedicated to pixel-level understanding of street scenes, and the latter is mainly captured by onboard cameras and mobile phones. With 24704 well-chosen and high-quality images of driving scenarios, SODA-D comprises 277596 instances of 9 categories with horizontal bounding boxes.

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
Small Object Detection SODA-D CFINet mAP@0.5:0.95 30.7 Small Object Detection via Coarse-to-fine Proposal... shaunyuan22/cfinet 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 5. 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
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning 1 1 18 Aug 2023 ran 3 of 6 samples (3 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY-SA license agreement

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • SODA-D

1 variant name, as the archive lists them.

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