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