Data checked 2026-10-15. Data checked within the review cycle.
Review cycles are documented on the Methodology page. Methodology
SeSame Aerial Weed Segmentation (AgML format)
Dataset Tier B perception_ai cc-by-4.0
AgML-formatted aerial crop and weed imagery from Pakistan, with 160 images and pixel masks for segmentation research.
Overview
The Hugging Face package provides image, mask and mask_binary fields; its split column preserves the source partitions. This is an AgML conversion of the SeSame/Weed Aerial Dataset, rather than a newly collected dataset. Check the source split before evaluation.
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://huggingface.co/datasets/Project-AgML/Sesame_Aerial_weed_segmentation
- Documentation https://huggingface.co/datasets/Project-AgML/Sesame_Aerial_weed_segmentation/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 4 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 | 2026-09-19 |
| 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.
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New resource: SeSame Aerial Weed Segmentation (AgML format)
AgML-formatted aerial crop and weed imagery from Pakistan, with 160 images and pixel masks for segmentation research.