Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective

Dataset overview:
This dataset includes a total of 4319 raw images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies.

Dataset Breakdown by Vegetable Type:
Potato: 365 images
Onion: 357 images
Green Chili: 497 images
Garlic: 349 images
Radish: 310 images
Bean: 454 images
Ladies Finger : 308 images
Cucumber: 342 images
Pointed Gourd: 329 images
Bitter Melon: 306 images
Brinjal : 373 images
Tomato: 329 images

Data Source:
The images were captured using mobile phone cameras and kept in their original form without any modifications, ensuring the preservation of natural backgrounds for better machine learning adaptability.

Applications:
Vegetable Classification Models
Automated Produce Recognition Systems
Computer Vision Benchmarking
Educational and Agricultural Research