3,906 annotated images support research in smart agriculture and AI-based crop monitoring. The dataset, created by Ethan0300, contains 16,107 bounding boxes across 12 categories for common strawberry diseases, pests, and nutrient deficiencies. It was last updated on April 5, -2026.
Use Cases
- Training object detection models to identify strawberry diseases based on annotated bounding boxes.
- Developing automated crop monitoring systems based on visual symptoms of nutrient deficiencies.
- Benchmarking pest detection algorithms for precision agriculture applications.
- Supporting research in plant pathology and smart farming using a labeled image collection.
Strengths
- 3,906 images provide a substantial visual corpus for model training.
- 16,107 bounding boxes offer detailed localization annotations.
- 12 distinct categories cover a range of common agricultural issues.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- The collection period is only partially specified as 'April', limiting temporal context.
Provenance
- Source
- huggingface user Ethan0300
- Collection Method
- Likely collected and annotated for agricultural AI research.
- Time Range
- Collection period includes April (specific year unknown).
- Freshness
- Last updated 2026-04-05 09:20:42; freshness should be verified.
- Geography
- null