Description
SemanticSugarBeets, a novel and high-quality dataset containing 953 monocular RGB images and 2920 annotations of sugar beets, enables a wide range of learning tasks including object detection, semantic segmentation, instance segmentation and mass estimation for post-harvest and post-storage analysis.
| Date made available | 13 May 2025 |
|---|---|
| Date of data production | 2022 - 2024 |
Research Field
- Assistive and Autonomous Systems
Research output
- 1 Conference Proceedings with Poster Presentation
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SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets
Croonen, G., Trondl, A., Simon, J. & Steininger, D., 19 Apr 2025, (E-pub ahead of print) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 13 p.Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review
Open Access
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