Dataset · Hugging Face

shijli/aitod-v2

Name: aitod-v2
Creator: shijli
License: cc-by-nc-sa-4.0
Keywords: task_categories:object-detection, language:en, license:cc-by-nc-sa-4.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, modality:geospatial, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, aitod, aerial

AI-TOD-v2 AI-TOD-v2, the tiny-object detection benchmark in aerial images, packed once with the official v2 annotations kept whole, so it loads in one line and no data path has to be configured: from datasets import load_dataset ds = load_dataset("shijli/aitod-v2") # 11214 train / 2804 validation / 14018 test AI-TOD cuts 28036 images of 800 x 800 pixels from xView, DOTA-v1.5, VisDrone2018-Det, Airbus Ship Detection and DIOR, and annotates eight classes whose mean object size… See the full description on the dataset page: https://huggingface.co/datasets/shijli/aitod-v2.

View on Hugging FaceReport an issue

Author / organization	shijli
License (as declared)	cc-by-nc-sa-4.0
Downloads	3.1K (as reported by Hugging Face)
Likes	3
Created	6 September 2026
Last updated at source	4 October 2026

aitodaerialremote-sensingsatellitetiny-object-detection

Embed this entry

<iframe src="https://silytics.si/embed/item/925465e4-fcc7-49c1-884b-78849def331a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

3,130 now (-306 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from shijli

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.