CABBAGE

The dataset comprises over 500 images of cabbage (Brassica oleracea var. capitata) classified into two categories: "good" and "bad". These images were captured using a OnePlus Nord CE 2 Lite 5G mobile camera, under consistent daylight conditions against a black background. Each image represents either a "good" cabbage, characterized by desirable attributes such as freshness, uniformity, absence of blemishes, and overall quality, or a "bad" cabbage, exhibiting defects like rot, discoloration, pest damage, or irregular shape. The dataset provides a comprehensive representation of the variations in cabbage quality, facilitating the training and evaluation of machine learning models for cabbage classification tasks. For each image, metadata may include details such as: - Image resolution - Image format (e.g., JPEG) - Date and time of capture - Lighting conditions - Camera settings (e.g., aperture, exposure) - Ground truth label (good/bad) The images are labeled accordingly, enabling supervised learning algorithms to learn the distinguishing features between good and bad cabbage specimens. This dataset can be utilized across various applications, including agricultural automation, quality control in food processing industries, and computer vision research.本数据集包含超过500张结球甘蓝（Brassica oleracea var. capitata）的图像，分为"优质"与"劣质"两类。所有图像均采用OnePlus Nord CE 2 Lite 5G手机摄像头拍摄，拍摄环境为统一的日光光照，背景为纯黑色。 每张图像对应一株结球甘蓝，分为"优质"与"劣质"两类：优质结球甘蓝具备新鲜度佳、形态规整、无瑕疵且整体品质优良等特征；劣质结球甘蓝则存在腐烂、变色、虫害损伤或外形不规则等缺陷。 本数据集全面覆盖了结球甘蓝品质的各类差异场景，可用于结球甘蓝分类相关机器学习模型的训练与评估。 每张图像可附带以下元数据信息： - 图像分辨率 - 图像格式（如JPEG） - 拍摄日期与时间 - 光照条件 - 摄像头参数（如光圈、曝光度） - 标注真值（优质/劣质） 所有图像均已完成标注，可支持监督学习算法学习优质与劣质结球甘蓝样本间的区分特征。本数据集可应用于多个场景，涵盖农业自动化、食品加工行业品质检测以及计算机视觉研究等领域。