bag-lab/MAP-3M
Dataset Name MAP-3M - A Large Scale Multi-Class Map Dataset Dataset Summary MAP-3M is one of the largest high-resolution aerial imagery and map datasets to date, comprising approximately 3 million images—10× larger than comparable datasets. Each image is enriched with high-quality annotations for two fundamental map classes: buildings and roads. Images: Sourced from the National Agriculture Imagery Program (NAIP) (U.S. Department of Agriculture, 2025). Sampling:… See the full description on the dataset page: https://huggingface.co/datasets/bag-lab/MAP-3M.
| Author / organization | bag-lab |
|---|---|
| License (as declared) | cc-by-nd-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 18 November 2025 |
| Last updated at source | 19 November 2025 |
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