Lightweight Dataset for Maize Classification on Resource-Constrained Devices

The dataset comprises images of three types of maize seeds: Wang Dataa, Sanzal Sima, and Bihilifa, sourced from Heritage Seeds Ghana. These maize varieties are commonly cultivated in the northern region of Ghana. At the collection point, Heritage Seeds Ghana manually sorted and labeled the images as either 'good' or 'bad' for each of the three varieties. The 'good' category represented high-quality maize seeds suitable for productive yields, while the 'bad' category included damaged, infected, or low-quality seeds not suitable for production. The images were captured using a 12-megapixel phone camera, resulting in original JPEG images of varying dimensions. Additionally, the augmented images were standardized to a size of 128 by 128. During capture, a blue background was used to ensure consistency and clarity during daylight, with no specific attention to lighting conditions. The images were then organized into their respective classes of 'good' and 'bad.' Overall, the dataset for this study comprises both raw (4,846 images) and augmented (28,910 images) color images.

本数据集包含三个品种的玉米种子图像，分别为Wang Dataa、Sanzal Sima与Bihilifa，数据采集自加纳遗产种子公司（Heritage Seeds Ghana）。上述玉米品种为加纳北部地区常见栽培品种。在数据采集点，加纳遗产种子公司针对这三个品种的图像完成了人工分拣与标注，将其划分为“优质”与“劣质”两个类别：其中“优质”类别指代可实现稳产高产的高品质玉米种子，“劣质”类别则涵盖受损、感染或品质低劣、不适宜用于农业生产的种子。图像采集采用1200万像素手机相机完成，原始图像格式为JPEG，尺寸存在差异。此外，经数据增强处理后的图像被统一标准化为128×128像素的尺寸。采集过程中采用蓝色背景以保障日间拍摄时的画面一致性与清晰度，但未对光照条件进行特殊调控。所有图像后续均被归入对应的“优质”或“劣质”类别中。本研究使用的完整数据集包含原始彩色图像4846张，以及经数据增强后的彩色图像28910张。