Okra DiseaseNet Dataset

Motivation : To diagnose the okra leaf diseases segmentation with severity level estimation and classification at early stage using computer vision algorithms Dataset Description : This dataset comprises of 1500 high resolution okra leaf healthy and diseased images and also mainly focus on collection of various types of leaf diseases according to two locations and nature of soil (Chengalpattu and Thanjavur) includes 1500 images with 6 different classes namely Class 0 : Healthy, Class 1 : Alternaria leaf spot, Class 2: Cercospora leaf spot, Class 3: Downy mildew, Class 4: Leaf curly virus and Class 5: Phyllosticta leaf spot.

Segmentation : It will be also used in segmentation to measure the severity level estimation for exactly localize and segments the diseased lesion spots in each leaf. Classification : It used to classify the images as healthy and different types of diseased okra leaves. Image Acquired by : Canon EOS 3000D DSLR Camera with specifications, 18-55 mm lens (Black), 9 Auto focus points, Wifi, Full HD, Optimal zoom 35x, CMOS Sensor type and 18MP effective pixels.