Rice Seed Detection and Counting Method

This dataset is developed for training rice seed recognition models, with the research hypothesis that color images of randomly distributed rice seeds captured by a standardized industrial camera can provide effective features for model training. The dataset contains color images of randomly distributed rice seeds, acquired using a HIKROBOT MV-CS060-10GC area scan industrial camera equipped with a Sony IMX178 CMOS sensor (1/1.8-inch sensor size) and featuring 6-megapixel resolution, rolling shutter technology, and a GigE data interface. Capable of color imaging, the camera achieves a maximum frame rate of 19.1 fps in Bayer RG8 format, with the lower surface of its lens positioned approximately 26 cm above the base plate, a focal length of 8 mm, a maximum aperture of F2.8, and a matching 1/1.8-inch imaging sensor size, along with an exposure time of 0.08 seconds. The data reflects clear imaging of randomly distributed rice seeds enabled by the camera’s calibrated parameters, ensuring the preservation of key visual features of the seeds. To interpret and use the dataset, users can directly apply it to model training for rice seed recognition after basic image preprocessing (e.g., format conversion), as the standardized data collection setup (fixed camera parameters and shooting distance) ensures consistency and usability, allowing others to replicate the imaging conditions and utilize the data for relevant model development.本数据集专为水稻种子识别模型训练开发，研究假设为：采用标准化工业相机拍摄的随机分布水稻种子彩色图像，可为模型训练提供有效特征。本数据集包含随机分布的水稻种子彩色图像，采集设备为海康机器人（HIKROBOT）MV-CS060-10GC面阵工业相机，该相机搭载索尼（Sony）IMX178 CMOS传感器（传感器尺寸为1/1.8英寸），具备600万像素分辨率、卷帘快门技术与千兆以太网（GigE）数据接口。该相机支持彩色成像，在Bayer RG8格式下最大帧率可达19.1 fps；镜头下表面距底板约26厘米，焦距为8毫米，最大光圈为F2.8，配套成像传感器尺寸为1/1.8英寸，曝光时间设置为0.08秒。通过该相机的校准参数，可实现随机分布水稻种子的清晰成像，完整保留种子的关键视觉特征。本数据集采用标准化的数据采集方案（固定相机参数与拍摄距离），保障了数据的一致性与可用性；用户仅需完成基础图像预处理（如格式转换）后，即可直接将其应用于水稻种子识别模型的训练，同时其他研究者也可复现该成像环境，将数据集用于相关模型开发。