BanglaVegNet: A Multiclass Image Dataset of Traditional Vegetables in Bangladesh
Description
The dataset comprises 4,730 original JPG images, featuring 1,877 raw images of 42 distinct vegetable families. These 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. The dataset ensures a well-balanced and diverse representation, with unique images for each vegetable type, enhancing its suitability for classification and analysis tasks.
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Steps to reproduce
This dataset comprises a meticulously curated collection of high-resolution images featuring 42 distinct vegetable varieties sourced from street stalls and local markets in Mirpur, Dhaka City, Bangladesh. Each vegetable sample was captured under natural lighting conditions to accurately preserve its unique visual characteristics, including color, texture, and shape. Serving as a comprehensive visual reference, the dataset offers a diverse and precise representation of these vegetables, making it well-suited for accurate classification and analysis. The images were captured using a Poco F3 Android camera with the highest level of detail precision to guarantee high-quality photos