Sunflower image dataset from Bangladesh

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.

本数据集是专为向日葵目标检测任务构建的综合性数据集。初始数据集包含1649张高质量图像，涵盖向日葵的不同生长阶段与拍摄角度。为提升模型的鲁棒性与泛化能力，研究人员采用数据增强技术对数据集进行扩充，最终样本总量增至4286张。所有图像均经过精细标注，并采用PASCAL VOC格式存储，可兼容绝大多数深度学习框架，能够高效支撑目标检测模型的训练与评估流程。