Sunflower image dataset from Bangladesh
Published: 13 August 2024| Version 1 | DOI: 10.17632/txct4k36ct.1
Contributors:
Mohammad Rifat Ahmmad Rashid, MD. Fahim, Md. Shafayat Hossain, Tahzib-E- AlindoDescription
The dataset is a comprehensive collection designed for sunflower detection in object detection tasks. The original dataset consists of 1,649 high-quality images capturing various stages and angles of sunflowers. To enhance the model's robustness and generalization capability, data augmentation techniques were applied, expanding the dataset to a final count of 4,286 images. The images are meticulously labeled and presented in the Pascal VOC format, ensuring compatibility with a wide range of deep learning frameworks and facilitating efficient training and evaluation processes in object detection models.
Files
Institutions
- East West University
Categories
Computer Vision, Image Processing, Object Detection, Precision Agriculture