Honey Particle Detection Dataset

A synthetically generated dataset of honey samples observed by a digital microscope. The goal of this dataset is to train machine learning models to detect the pollen found in the images. This dataset contains 500 images with three different classes of particles commonly found in honey. The annotations are provided in YOLO format in a different directory. Each annotation is associated with the image by an unique ID. The images follow the naming convention "image_{ID}.png" and the annotations follow the convention "image_{ID}.txt". This dataset has been created by Sonicat Systems and is published under Creative Commons Attribution Non-Commercial Share Alike license.

本数据集为经数字显微镜观测得到的蜂蜜样本合成数据集，其构建目标为训练机器学习模型以检测图像中存在的花粉颗粒。该数据集共包含500张图像，涵盖蜂蜜中常见的三类不同颗粒类别。标注文件以YOLO格式（YOLO）存放于独立目录中，每份标注均通过唯一ID与对应图像关联。图像采用"image_{ID}.png"的命名规范，标注文件则遵循"image_{ID}.txt"的命名规则。本数据集由Sonicat Systems公司制作，并以知识共享署名-非商业性使用-相同方式共享许可协议（Creative Commons Attribution Non-Commercial Share Alike）发布。