A Comprehensive Image Dataset of Vegetables Grown in Bangladesh

This dataset comprises a total of 4,730 high-quality JPG images, including 1,877 raw, unprocessed images, representing 42 distinct vegetable categories commonly found in Bangladesh. Each vegetable category is uniquely captured to ensure a well-balanced and diverse collection, making the dataset suitable for machine learning applications such as image classification, object detection, and agricultural analysis.

The vegetable classes include: Arum Lobe, Ash Gourd, Beetroot, Bitter Melon, Bottle Gourd, Broccoli, Cabbage, Capsicum, Carrot, Cauliflower, Chives Onion, Chili, Coconut, Coriander, Cucumber, Eggplant, Elephant Foot Yam, Flat Bean, Garlic, Ginger, Gooseberry, Green Papaya, Green Spinach, Jicama, Kohlrabi, Lime, Malabar Spinach Seed, Okra, Onion, Plantain, Pointed Gourd, Potato, Pumpkin, Radish, Radish Leaves, Red Amaranth, Shaluk, Snake Gourd, Taro, Tomato, Yardlong Bean, and Zucchini.

This curated dataset aims to support researchers and developers in the fields of computer vision, agriculture, and food technology by providing a reliable and diverse set of labeled images for model training, testing, and validation.