DOI: 10.57760/sciencedb.13029
title: AG-Data
title: AG-Data

description: AG-Data is a comprehensive agricultural image classification dataset comprising 30,797 images across 46 distinct categories. We have split the dataset into a training set, a validation set, and a test set in a 6:2:2 ratio.The following is a detailed description of the AG-data dataset：1. The Sorghum dataset contains 3 categories: BroadLeafWeed (1441 images), class0_sorghum (1404 images), and class1_Grass (1467 images), with a total of 4312 images.2. The Banana dataset comprises 4 categories: cordana (400 images), pestalotiopsis (400 images), sigatoka (400 images), and healthy (400 images), totaling 1600 images.3. The sunflower dataset includes 4 categories: Downy mildew (470 images), Fresh leaf (515 images), Gray mold (398 images), and leaf scars (509 images), with a total of 1892 images.4. The mulberry dataset encompasses 10 categories, each with the following number of images: BlackAustralia (637), BlackOodTurkey (500), Buriram60 (345), ChiangMai60 (500), ChiangMaiBuriram60 (761), Kamphaengsaeng42 (500), RedKing (350), TaiwanMeacha (640), Taiwanstraberry (488), and WhiteKing (541), totaling 5262 images.5. The pomegranate dataset consists of 5 categories: Alternaria (886 images), Anthracnose (1166 images), Bacterial_Blight (966 images), Cercospora (631 images), and healthy (1450 images), with a total of 5099 images.6. The potatoleaf dataset has 7 categories: Bacteria (569 images), Fungi (748 images), Nematode (68 images), pest (611 images), Phytopthora (347 images), Virus (532 images), and healthy (201 images), totaling 3076 images.7. The RicePest dataset includes 10 categories, each with the following number of images: asiatic rice borer (498), brown plant hopper (346), paddy stem maggot (89), rice gall midge (217), rice leaf caterpillar (153), rice leaf roller (716), rice leaf hopper (244), rice water weevil (414), samll brown plant hopper (243), and yellow rice borer (236), totaling 3156 images.8. The cucumber dataset comprises 8 categories, each with 800 images, totaling 6400 images. The categories are: Anthracnose, Bacterial wilt, Belly Rot, Downy mildew, Fresh cucumber, Fresh leaf, Gummy Stem Blight, and Pythium Fruit Rot.
description: AG-Data is a comprehensive agricultural image classification dataset comprising 30,797 images across 46 distinct categories. We have split the dataset into a training set, a validation set, and a test set in a 6:2:2 ratio.The following is a detailed description of the AG-data dataset：1. The Sorghum dataset contains 3 categories: BroadLeafWeed (1441 images), class0_sorghum (1404 images), and class1_Grass (1467 images), with a total of 4312 images.2. The Banana dataset comprises 4 categories: cordana (400 images), pestalotiopsis (400 images), sigatoka (400 images), and healthy (400 images), totaling 1600 images.3. The sunflower dataset includes 4 categories: Downy mildew (470 images), Fresh leaf (515 images), Gray mold (398 images), and leaf scars (509 images), with a total of 1892 images.4. The mulberry dataset encompasses 10 categories, each with the following number of images: BlackAustralia (637), BlackOodTurkey (500), Buriram60 (345), ChiangMai60 (500), ChiangMaiBuriram60 (761), Kamphaengsaeng42 (500), RedKing (350), TaiwanMeacha (640), Taiwanstraberry (488), and WhiteKing (541), totaling 5262 images.5. The pomegranate dataset consists of 5 categories: Alternaria (886 images), Anthracnose (1166 images), Bacterial_Blight (966 images), Cercospora (631 images), and healthy (1450 images), with a total of 5099 images.6. The potatoleaf dataset has 7 categories: Bacteria (569 images), Fungi (748 images), Nematode (68 images), pest (611 images), Phytopthora (347 images), Virus (532 images), and healthy (201 images), totaling 3076 images.7. The RicePest dataset includes 10 categories, each with the following number of images: asiatic rice borer (498), brown plant hopper (346), paddy stem maggot (89), rice gall midge (217), rice leaf caterpillar (153), rice leaf roller (716), rice leaf hopper (244), rice water weevil (414), samll brown plant hopper (243), and yellow rice borer (236), totaling 3156 images.8. The cucumber dataset comprises 8 categories, each with 800 images, totaling 6400 images. The categories are: Anthracnose, Bacterial wilt, Belly Rot, Downy mildew, Fresh cucumber, Fresh leaf, Gummy Stem Blight, and Pythium Fruit Rot.