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A dataset of 2,032 raw images depicting seven common vegetable species, each categorized into fresh and defective quality classes, resulting in 14 object categories. The images were captured under real-world conditions with variations in angles, backgrounds, and lighting, and are annotated with 4,736 bounding boxes in YOLO format. Created by Tarek Rahman and last updated in March 2026, the data is pre-split into training, validation, and test sets.
Data is provided in a ZIP file and annotations are in TXT (YOLO) format, requiring compatible frameworks for use.