jaychempan/LAE-1M
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/jaychempan/LAE-1M.
| Author / organization | jaychempan |
|---|---|
| License (as declared) | mit |
| Downloads | 691 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 26 July 2025 |
| Last updated at source | 9 April 2026 |
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691 now (-20 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: 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 Obj → 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 Obj
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