Dataset · Hugging Face

ML4Sustain/LAE-1M

Name: LAE-1M
Creator: ML4Sustain
License: mit
Keywords: task_categories:object-detection, task_categories:zero-shot-object-detection, source_datasets:DOTA, source_datasets:DIOR, source_datasets:FAIR1M, source_datasets:NWPU-VHR-10, source_datasets:HRSC2016, source_datasets:RSOD, source_datasets:AID, source_datasets:NWPU-RESISC45, source_datasets:SLM, source_datasets:EMS, language:en, license:mit, modality:geospatial

LAE-1M: Locate Anything on Earth Dataset LAE-1M (Locate Anything on Earth - 1 Million) is a large-scale open-vocabulary remote sensing object detection dataset introduced in the paper "Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community" (AAAI 2025). It contains over 1M images with coarse-grained (LAE-COD) and fine-grained (LAE-FOD) annotations, unified in COCO format, enabling zero-shot and few-shot detection in remote… See the full description on the dataset page: https://huggingface.co/datasets/ML4Sustain/LAE-1M.

View on Hugging FaceReport an issue

Author / organization	ML4Sustain
License (as declared)	mit
Downloads	357 (as reported by Hugging Face)
Likes	0
Created	5 June 2026
Last updated at source	5 June 2026

remote-sensingcomputer-visionopen-vocabularybenchmarkimage-dataset

Embed this entry

<iframe src="https://silytics.si/embed/item/afd39552-383c-4f3c-9f77-129f36700d54" 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

357 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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 Information may be incomplete or out of date.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.