five

White Cabbage Leaf Damage Dataset

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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/v4f4mxpy32
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This dataset was collected to support research on the detection of pest-induced damages on white cabbage (Brassica oleracea var. capitata). A total of 3961 images were captured from white cabbage fields in Bilecik/Pazaryeri (40.0018 latitude, 29.9311 longitude) in Türkiye. Images were manually annotated by LabelImg programme to indicate damage regions caused by pests and diseases, resulting in 86270 (cabbage:28552, head:29275, damaged:28443) bounding box annotations. The dataset can be used for training and evaluation of deep learning models for object detection and classification tasks, specifically for agricultural applications such as plant disease diagnosis and precision agriculture. Files include: -Raw images (JPEG format) -Annotated labels (YOLO format, TXT files) Keywords : White cabbage, Leaf damage, Plant disease detection, Deep learning, YOLO, Precision agriculture, Computer vision, Object detection
创建时间:
2025-09-29
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