Beschreibung
The CropAndWeed dataset is focused on the fine-grained identification of 74 relevant crop and weed species with a strong emphasis on data variability. Annotations of labeled bounding boxes, semantic masks and stem positions are provided for about 112k instances in more than 8k high-resolution images of both real-world agricultural sites and specifically cultivated outdoor plots of rare weed types. Additionally, each sample is enriched with meta-annotations regarding environmental conditions.
| Datum zugänglich gemacht | Jan. 2023 |
|---|---|
| Datum der Datenproduktion | 2019 - 2022 |
Research Field
- Assistive and Autonomous Systems
Publikationen
- 1 Vortrag mit Beitrag in Tagungsband
-
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
Steininger, D. (Vortragende:r), Trondl, A., Croonen, G., Simon, J. & Widhalm, V., 2023, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 10 S.Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung
Open Access
Diese Publikation zitieren
- DataSetCite