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Bramble Flower Detection and Classification Dataset for Precision Pollination
- Citation Author(s):
- Submitted by:
- Madhav Rijal
- Last updated:
- Fri, 06/21/2024 - 13:34
- DOI:
- 10.21227/b58f-jt53
- License:
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Abstract
This dataset contains both the artificial and real flower images of bramble flowers. The real images were taken with a realsense D435 camera inside the West Virginia University greenhouse. All the flowers are annotated in YOLO format with bounding box and class name. The trained weights after training also have been provided. They can be used with the python script provided to detect the bramble flowers. Also the classifier can classify whether the flowers center is visible or hidden which will be helpful in precision pollination projects. Images are also augmented to make the task robust in various environmental conditions.
Funding Agency:
USDA NIFA
Grant Number:
2022-67021-36124
Dataset Files
- Bramble_Flower_Dataset.zip (72.00 MB)
- flower_detect.py (2.58 kB)
- flower_classifer.py (1.49 kB)
Comments
I intend to examine the requested dataset in order to develop a similar project.
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