1 июн. 2024 г. · This dataset consists of 4502 images of healthy and unhealthy plant leaves divided into 22 categories by species and state of health.

This dataset consists of 4502 images of healthy and unhealthy plant leaves.

This dataset consists of about 87K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes.

Sixteen samples of leaf each of one-hundred plant species. For each sample, a shape descriptor, fine scale margin and texture histogram are given.

This dataset consists of 4502 images of healthy and unhealthy plant leaves divided into 22 categories by species and state of health.

The training data for the model primarily includes images of leaves of diseased and healthy fruit and vegetable plants. It can classify the multiple categories ...

The PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease.

This dataset will be useful to train and validate deep learning and machine learning algorithms for groundnut leaf disease classification and recognition.

19 янв. 2023 г. · Raw leaf image set consists of leaf images of 117 medicinal plants found in Assam. All the samples are collected by visiting different (Govt, ...

This article presents the chili and onion leaf (COLD) dataset, which focuses on the leaves of chili and onion plants, scientifically known as Allium cepa ...