five

InsectBase: Soybean Crop Insect Augmented Cropped Image Dataset for Classification

收藏
Figshare2020-10-13 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/InsectBase_Soybean_Crop_Insect_Augmented_Cropped_Image_Dataset_for_Classification/13084208
下载链接
链接失效反馈
官方服务:
资源简介:
The dataset contains soybean crop adult insect augmented cropped Images ( a total of 7306 images) in JPG format. There were considered four kind of soybean crop insect’s images as: 1. A folder Augmented_Cropped_Eocanthecona_Bug_A contains 1802 images of Eocanthecona Bug. The augmentation methods and corresponding images are as: Brightness (contrast):201, flipping (horizontal):300, rotation (45 degree): 301, saturation: 102, scaling:300, shearing:299, translation:299 2. A folder Augmented_Cropped_Tobacco_Caterpillar_B contains 1812 images of Tobacco Caterpillar. The augmentation methods and corresponding images are as: Brightness (contrast):200, flipping (horizontal):300, rotation (45 degree): 313, saturation: 101, scaling:300, shearing:299, translation:299 3. A folder Augmented_Cropped_Red_Hairy_Catterpillar_C Contains 1798 images of Red Hairy Caterpillar. The augmentation methods and corresponding images are as: Brightness (contrast):200, flipping (horizontal):300, rotation (45 degree): 300, saturation: 100, scaling:300, shearing:299, translation:299 4. A folder Augmented_Cropped_Larva_Spodoptera_D contains 1894 images of Larva Spodoptera. The augmentation methods and corresponding images are as: Brightness (contrast):201, flipping (horizontal):300, rotation (45 degree): 300, saturation: 101, scaling:300, shearing:299, translation:393 5. Initially, all the images were taken from the following two datasets and then further applied various augmentation methods (brightness, flipping, rotation, saturation, scaling, shearing, translation) to enhance the dataset size: (i). Tiwari, Vivek; Saxena, Ravi R; Ojha, Muneendra (2020): Soybean Crop Insect Raw Image Dataset_V1 with Bounding boxes for Classification and Localization. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13077221.v3 (ii) Tiwari, Vivek; Saxena, Ravi R; Ojha, Muneendra (2020): Soybean Crop Insect Processed (Cropped) Image Dataset_V1 for Classification. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13078883 The dataset was developed by the authors under collaborative work between Indira Gandhi Krishi Vishwavidyalaya (IGKV), Raipur (CG), and DSPM IIIT Naya Raipur (CG), India
创建时间:
2020-10-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作