Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective
Description
Dataset overview: This dataset includes a total of 2,947 labeled images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies. Dataset Breakdown by Vegetable Type: Potato: 272 images Onion: 357 images Green Chili: 497 images Garlic: 235 images Radish: 310 images Bean: 454 images Ladies Finger : 213 images Cucumber: 232 images Pointed Gourd: 157 images Bitter Melon: 93 images Brinjal (Eggplant): 88 images Tomato: 37 images Data Source: The images were captured using mobile phone cameras, and the backgrounds were removed to enhance the clarity and focus on the vegetables. Applications: Vegetable Classification Models Automated Produce Recognition Systems Computer Vision Benchmarking Educational and Agricultural Research