<b>AgroVisionBD:</b> A Primary Image Dataset of Healthy and Diseased Banana, Mango, and Papaya Fruits and Leaves from Bangladesh

An external academic expert in agronomy reviewed all 18 class definitions together with representative images. Sixteen classes were recorded as Accepted, while <code>mango_anthracnose_fruit</code> and <code>mango_black_spot_fruit</code> were recorded as Moderate because of overlapping visual characteristics. The validation represents class-level visual assessment and does not constitute laboratory or pathogen-confirmed diagnosis.</p><p dir="ltr">The repository includes the original-resolution image collection, image-level <code>metadata.csv</code>, class-level documentation, expert-validation information, and a README describing the dataset structure and reuse conditions.

Image-level metadata include class information, collection location, capture device, image dimensions, image format, color mode, file size, and relative repository path.</p><p dir="ltr">AgroVisionBD is intended for reuse in plant disease classification, transfer learning, agricultural computer vision, machine learning, feature extraction, explainable AI, class-imbalance analysis, and related image-based agricultural research.</p>