Datasets › AI-TOD
AI-TOD (Tiny Object Detection in Aerial Images)
AI-TOD comes with 700,621 object instances for eight categories across 28,036 aerial images. Compared to existing object detection datasets in aerial images, the mean size of objects in AI-TOD is about 12.8 pixels, which is much smaller than others.
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.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Object Detection | AI-TOD | DNTR AP 26.2 | A DeNoising FPN With Transformer R-CNN for Tiny Object Detection | hoiliu-0801/dq-detr +1 | 7 | Compare |
| Semantic Segmentation | AI-TOD | Unet++(ResNet-50) Dice 70.19 | UNet++: A Nested U-Net Architecture for Medical Image... | qubvel/segmentation_models.pytorch +33 | 2 | Compare |
Papers archive 2025-07-28
9 shown of 9 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 18. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
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
- AI-TOD
1 variant name, as the archive lists them.
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