ApplePlumBD
Published: 17 September 2025| Version 2 | DOI: 10.17632/n6x3mbnvdh.2
Contributors:
, , , , , , Description
1. Type of data: 640 * 640 pixels images 2. Data Format: Annotated JPG files 3. Original images: 623 images 4. Augmented Image: 1623 images 5. Growth cycle considered: Five- Bud, Flower, Early Fruit, Matured Fruit, Ripened Fruit 6. Number of classes: Five (for each Stage). 7. Data source locations: Singair, Noyabari, Manikganj, Bangladesh. 8. Where applicable: Suitable for horticulture automation
Files
Institutions
East West University
Categories
Horticulture, Artificial Intelligence, Computer Vision, Annotation, Object Detection, Fruit, Plum