(1) Crop disease is a widespread problem in the productivity and quality of agricultural production. It adversely affects the quality of crops. The cucumber is a frequently grown creeping vine plant that has few calories but is high in water and several vital vitamins and minerals. Due to the non-biological circumstances, cucumber diseases will adversely harm the yield and quality of cucumber and cause heavy economic losses to farmers. The traditional diagnosis of crop diseases is often time-consuming, laborious, ineffective, and subjective.

(2) In the recent era, computer vision approaches are very promising for handling these kinds of classification and detection tasks.

(3) To develop machine vision-based algorithms, a major cucumber dataset is illustrated containing eight types of cucumber classes, namely Anthracnose, Bacterial Wilt, Belly Rot, Downy Mildew, Pythium Fruit Rot, Gummy Stem Blight, Fresh leaves, and Fresh cucumber. Cucumber disease classifications are done with the cooperation of an expert from an agricultural institute.

(4) A total of 1280 images of cucumbers are collected from real fields. Then from these original images, a total of 6400 augmented images are produced using flipping, shearing, zooming, and rotation techniques to increase the data number. Sultana, Nusrat; Shorif, Sumaita Binte ; Akter, Morium ; Uddin, Mohammad Shorif (2022), “Cucumber Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/y6d3z6f8z9.1