Sunflower image dataset from Bangladesh
Published: 13 August 2024| Version 1 | DOI: 10.17632/txct4k36ct.1
Contributors:
Mohammad Rifat Ahmmad Rashid, , , Description
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