Project-AgML/cross_season_weed_detection
Cross Season Weed Detection Two-Season-WeedDet8: 6,664 images of naturally germinated weeds in cotton fields across Mississippi, taken with smartphones and digital cameras in the 2021 and 2022 seasons and released with a survey of public weed datasets and a study of cross-season weed detection. Every weed of eight classes (waterhemp, carpetweed, morningglory, goosegrass, spotted spurge, Palmer amaranth, purslane and ragweed) is boxed, 10,848 boxes in all. The 2021 images derive… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cross_season_weed_detecti
| Author / organization | Project-AgML |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 815 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 25 October 2026 |
Popularity, last 14 days
815 now (+815 since 2026-10-25). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 25 Oct 2026 License: none → cc-by-nc-4.0
- 25 Oct 2026 Description: none → Cross Season Weed Detection Two-Season-WeedDet8: 6,664 images of naturally germinated weeds in cotton fields across Mississippi, taken with smartphones and digital cameras in the 2021 and 2022 seasons and released with a survey of public we
- 25 Oct 2026 Topics added task_categories:object-detection
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