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Indian major basmati paddy seed varieties images dataset

机译:印度主要巴斯马提稻谷种子品种图片数据集

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摘要

The dataset contains images of 10 out of 32 notified Indian basmati seeds varieties (by the Government of India). Indian basmati paddy varieties included in the dataset are 1121, 1509, 1637, 1718, 1728, BAS-370, CSR 30, Type-3/Dehraduni Basmati, PB-1 and PB-6. Moreover, several images of other seeds and related entities available in the household have also been included in the dataset. Thus, the dataset contains 11 classes such that ten classes contain images from ten different basmati paddy varieties. In contrast, the 11th class- named “Unknown” contains images from a mixture of two morphologically similar paddy varieties (1121 and 1509), different pulses, other grains and related food entities. The Unknown class is useful in discriminating the paddy seeds from other types of seeds and related food entities. All the images were captured (in standard conditions) manually using an apparatus developed in-house and a tablet with a five-megapixel camera (5MP). The camera was used to capture 3210 RGB coloured images in JPG format. The data pre-processing was performed to generate the ready-to-use images for training and testing machine learning-based models. AI-based paddy seed variety classification models have been developed using the dataset. The dataset can be used to generate different types of AI-based models for adulteration detection, automated classification models (along with independent devices) at the time of rice threshing, and to increase the classification potential (Supplementing images representing additional basmati varieties).
机译:数据集包含32个通知印度巴斯马蒂种子品种(由印度政府)中的10个图像。包含在数据集中的印度Basmati稻谷品种是1121,1509,1637,1718,1728,BAS-370,CSR 30,3型/ Dehraduni Basmati,PB-1和PB-6。此外,在数据集中也包含在家庭中可用的其他种子和相关实体的几种图像。因此,数据集包含11个类,使得10个类别包含来自十个不同的Basmati稻谷品种的图像。相反,第11类名为“未知”包含来自两个形态学相似的稻谷(1121和1509),不同脉冲,其他谷物和相关食物实体的混合物的图像。未知类可用于区分来自其他类型种子和相关食物实体的水稻种子。使用内部内部和带有五百百万像素相机(5MP)的平板电脑手动捕获所有图像(在标准条件下)。相机用于以JPG格式捕获3210 RGB彩色图像。执行数据预处理以生成用于训练和测试机器学习的模型的即用型图像。已经使用数据集开发了基于AI的水族种子种类分类模型。数据集可用于生成不同类型的基于AI的模型,用于在稻米脱粒时自动分类模型(以及与独立设备),并增加分类电位(补充代表额外的Basmati品种的图像)。

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