A Dataset for Vegetable Identification

#Description:
This dataset is a curated collection of 4,800 images representing six commonly found vegetable species, designed to enhance machine learning and computer vision in vegetable detection, classification, and recognition. Collected to capture a variety of environmental settings, this dataset supports research in botany, agriculture, ecology, and AI.

#Dataset Content:
4,800 images across six vegetable species:
Eggplant: 800 images
Beans: 800 images
Ladies Finger: 800 images
Pointed Gourd: 800 images
Potato: 800 images
Onion: 800 images

#Purpose:
Aid in creating machine learning models for vegetable recognition and classification
Support biodiversity studies and educational efforts related to plant species