2,486 annotated images of the weed species 'ridderzuring' (Rumex acetosa) for object detection tasks. The dataset is part of the Roboflow 100 benchmark, a collection spanning 7 imagery domains, and was contributed by LibreYOLO. It was last updated on January 20, 2026.
Use Cases
- Training object detection models for weed identification based on the single annotated class 'ridderzuring'.
- Benchmarking model performance on agricultural imagery as part of the Roboflow 100 benchmark.
- Developing robotic systems for automated weed control based on visual detection data.
- Fine-tuning lightweight models like LibreYOLO for edge deployment in agricultural settings.
Strengths
- Dataset is part of a standardized benchmark (Roboflow 100), which suggests a degree of quality control and comparability.
- Provides a clear train/validation/test split with 1,661, 580, and 245 images respectively.
- Focuses on a single, specific object class, which can simplify model training for targeted applications.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale training.
- Description metadata is limited; actual data quality, image resolution, and annotation consistency require manual inspection.
Provenance
- Source
- LibreYOLO via Hugging Face.
- Collection Method
- Part of the Roboflow 100 benchmark; likely collected and annotated for object detection.
- Time Range
- null
- Freshness
- Last updated 2026-01-20 21:08:16; freshness should be verified.
- Geography
- null