Vegetable Object Detection Dataset from Bangladesh
Description
Context & Motivation: * Vegetables play a crucial role in Bangladesh’s nutrition, economy, and food security. * Accurate vegetable identification supports efficient cultivation, inventory management, and smart agriculture. Dataset Composition: * Total of 3,534 high-resolution images. * Captured under real-world, natural conditions from roadside vendor stalls. * Images acquired using a Redmi Note 12 smartphone mounted on local vendor vehicles. Vegetable Classes: * 22 distinct classes covering diverse appearances and shapes. * Includes common Bangladeshi vegetables across varied lighting and background conditions. Annotation & Format: * Annotated via the Roboflow platform for precise bounding-box labels. * Provided in Pascal VOC format to facilitate object detection benchmarks.
Files
Institutions
- East West University