This plant image dataset contains 14,790 images classified into 47 different plant species categories. This dataset was compiled by collecting images from Bing Images and curating them manually, although not by professional biologists.

Key Features:

• Total images: 14,790
• Number of classes: 47
• Image source: collected from Bing Images
• Treatment method: Manual cleaning by non-professionals

Dataset composition:

• The number of images per category varies widely, ranging from 66 (Yucca) to 547 (Monstera).
• Some representative categories include Chinese Dieffenbachia (514 images), Dumb Vine (541 images), and Monstera (547 images).
• Categories with fewer images include Yucca (66 images), Kalanchoe (130 images), and Asparagus Fern (169 images).

Image features:

• The quality and resolution of images vary.
• The dataset includes images of whole plants and close-ups of specific plant parts.
• Plants can be placed indoors and outdoors
• The images are organized into separate folders for each plant category.