Dataset Tomato disease identification dataset object detection .md

Dataset format: VOC + YOLO format

Number of images: 2083

Number of annotations (number of xml files): 2083

Number of labels (number of txt files): 2083

Number of labeled categories: 4

Tagged category names: [‘GBNV’, ‘Early blight — Alternaria solani’, ‘Tomato Healthy’, ‘Tomato Alternaria’]

Spotted wilt virus, early blight, healthy tomatoes, tomato scab

Use the annotation tool: labelImg

Labeling rules: draw horizontal rectangles for categories

Picture example:

If you have any questions or need the full code or data or need customized development requirements, you can contact me Email Mail me : slowlon@foxmail.com

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