Multi-Stage Detection and Classification Dataset for Ripeness Stage Analysis of Arbutus Berries

The Arbutus Berry Ripeness Level Detection Dataset contains annotations indicating both the detection and corresponding ripeness stages of Arbutus berries. The Arbutus Berry Ripeness Level Classification Dataset consists of images organized into folders based on their classification (red, green, or yellow berries). This classification dataset was created from the Arbutus Berry Ripeness Level Detection Dataset by cropping the annotated bounding boxes and grouping them according to their ripeness class. All images were captured using an OAK-D S2 camera at a resolution of 1456x1092 pixels. For the Arbutus Berry Ripeness Level Detection Dataset, the images and annotations are organized in the following directory structure: main_directory/│├── Train/│ ├── annotations/│ │ ├── pascalvoc/ │ │ │ PascalVOC annotation files │ │ └── yolo/│ │ YOLO annotation files│ └── images/│ image files│├── Val/│ ├── annotations/│ │ ├── pascalvoc/│ │ └── yolo/│ └── images/│└── Test/ ├── annotations/ │ ├── pascalvoc/ │ └── yolo/ └── images/ For Arbutus Berry Ripeness Level Classification dataset images are sorted into folders based on ripeness stage for training, validation, and testing: main_directory/│├── Train/│ ├── Red/│ │ └── image files│ ├── Green/│ │ └── image files│ └── Yellow/│ └── image files│ ├── Val/│ ├── Red/│ ├── Green/│ └── Yellow/│└── Test/ ├── Red/ ├── Green/ └── Yellow/