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Small Object Detection datasets
archive 2025-07-28
13 datasets carry the task tag "Small Object Detection" (the task itself: Small Object Detection), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Small Object Detection datasets 1–13 of 13
DOTA (Dataset for Object deTection in Aerial Images)
DOTA is a large-scale dataset for object detection in aerial images.
293 papers · 2 benchmarks
iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images.
81 papers · 4 benchmarks
SODA-A is a large-scale benchmark specialized for small object detection task under aerial scenes, which has 800203 instances with oriented rectangle box annotation across 9 classes.
7 papers · 0 benchmarks
The evaluation of object detection models is usually performed by optimizing a single metric, e.g.
5 papers · 1 benchmark
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…
5 papers · 1 benchmark
SOD4SB (Small Object Detection for Spotting Birds)
The Small Object Detection for Spotting Birds (SOD4SB) dataset is a dataset consisting of 39,070 images including 137,121 bird instances.
4 papers · 2 benchmarks
The Aircraft Context Dataset, a composition of two inter-compatible large-scale and versatile image datasets focusing on manned aircraft and UAVs, is intended for training and evaluating classification, detection and segmentation models in…
3 papers · 0 benchmarks
VD4UAV is an altitude-sensitive benchmark dataset designed to evade vehicle detection in Unmanned Aerial Vehicle (UAV) imagery.
2 papers · 2 benchmarks
The Apron Dataset focuses on training and evaluating classification and detection models for airport-apron logistics.
1 paper · 0 benchmarks
A dataset for flying honeybee detection introduced in "A Method for Detection of Small Moving Objects in UAV Videos".
1 paper · 1 benchmark
Overview This is a dataset of blood cells photos.
1 paper · 0 benchmarks
This work contributes a large, complex, and realistic high-quality safety clothing and helmet detection (SFCHD) dataset.
1 paper · 1 benchmark
USC-GRAD-STDdb comprises 115 video segments containing more than 25,000 annotated frames of HD 720p resolution (≈1280x720) with small objects of interest from 16 (≈4x4) to 256 (≈16x16) as pixel area.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.