Vegetable Recognition Dataset

An extensive dataset featuring over 8000 high-resolution images, with a diverse selection of 8 commonly utilized Indian vegetables: potato, tomato, ginger, garlic, chili, brinjal, carrot, and onion. This comprehensive collection encompasses a breadth of environmental conditions, including plain, cluttered, and natural backgrounds, as well as varied lighting scenarios such as bright and low-light conditions . The images offer a range of perspectives, from close-up shots to faraway angles, capturing the vegetables in different conditions. Every image within the dataset is meticulously self-clicked, ensuring authenticity and diversity in location, including markets, fields, and households. Explore this rich resource for robust insights and applications in image recognition, agriculture, and beyond.