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.