Plant Disease Detection Images with Bounding Box Annotations

Images of plants annotated with bounding boxes for object detection tasks related to disease identification. The dataset is associated with YOLO model training, as indicated by platform tags like Yolov5 and Yolov8. Details on the number of images, creator, and update date are unavailable.

Use Cases

• Training YOLO-based object detection models (e.g., Yolov5, Yolov8) using bounding box annotations.
• Developing automated systems for identifying and localizing diseased plant regions within images.
• Benchmarking model performance on agricultural computer vision tasks involving plant pathology.

Strengths

• Annotations specifically formatted for object detection frameworks like YOLO.

Limitations

• Unknown number of images and class distribution, preventing assessment of scale or potential imbalance.
• Geographic origin and time period of image collection are unspecified, limiting generalizability.

Provenance

Source

Kaggle