Annotated images of citrus leaves showing various diseases, collected from Okara, Pakistan. The dataset is designed for object detection tasks, as indicated by its association with YOLO. Its origin and specific collection date are not documented.
Use Cases
- Train object detection models like YOLO to identify and localize disease symptoms on leaf images.
- Develop image classification models to categorize citrus leaves as healthy or infected with specific diseases.
- Benchmark the performance of different computer vision architectures on agricultural pathology tasks.
- Create data augmentation pipelines to improve model robustness using annotated leaf imagery.
Strengths
- Images are annotated, providing ground truth labels for model training.
- Data originates from a specific agricultural region (Okara, Pakistan), offering localized relevance.
Limitations
- The total number of images, classes, and annotation details are unknown.
- Geographic scope is limited to a single region, which may not generalize to other citrus-growing areas.
Provenance
- Source
- null
- Collection Method
- Field collection and annotation of leaf images.
- Time Range
- null
- Freshness
- null
- Geography
- Okara, Pakistan