DTE-aerial Training Data (attribution subset)
Aerial RGB orthophoto patches for tree-cover and visible-mortality segmentation, distributed as georeferenced imagery with three-class masks.
Overview
The card reports 308,651 training and 34,885 validation patches, split by orthophoto. This subset is distinct from the separately released benchmark. Patch metadata retain contributor attribution and individual licenses, including a small MIT subset; do not assume one blanket license covers every patch.
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://huggingface.co/datasets/ayushi3536/deadtree.earth-aerial-train_cc_by
- Documentation https://huggingface.co/datasets/ayushi3536/deadtree.earth-aerial-train_cc_by/raw/main/README.md
Technical checklist
- OK License identified Recorded: cc-by-4.0
- OK Maintenance signal Maintained
- OK Verification status API confirmed
- OK Source evidence attached 3 source record(s)
- NEEDS REVIEW Latest version recorded Not recorded
Official Links
Metadata & Governance
| License | cc-by-4.0 — Inferred |
|---|---|
| Commercial model | Unknown |
| Maintenance status | Maintained |
| Verification status | API confirmed |
| Latest version | Not recorded |
| Latest release | Not recorded |
| Last activity | 2026-10-13 |
| Last checked | 2026-10-15 |
| First seen | 2026-10-15 |
Dataset facts
| Task | image-segmentation |
|---|---|
| Modality | image |
| License (dataset card) | cc-by-4.0 |
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
No verified relations have been recorded for this resource yet.
Update Events
New resource: DTE-aerial Training Data (attribution subset)
Aerial RGB orthophoto patches for tree-cover and visible-mortality segmentation, distributed as georeferenced imagery with three-class masks.