aerial-solar-panels-obb Dataset

This project labels solar panels collected via a DJI Mavic Air 2 flying over Rancho Santa Fe, California in August 2022. Both rooftop and backyard solar panels are labeled. It was used as the basis for the [Using Computer Vision with Drones for Georeferencing](https://blog.roboflow.com/georeferencing-drone-videos/) blog post and the [open source DJI aerial georeferencing project](https://github.com/roboflow-ai/dji-aerial-georeferencing).

53 images labeled with 267 polygons were used to train a computer vision model to detect solar panels from above. It's a demonstration of collecting and annotating data from a drone video and using that to train a machine learning model.

本项研究对2022年8月于加利福尼亚州兰乔圣菲地区由DJI Mavic Air 2无人机采集的太阳能板进行了标注。标注范围包括屋顶及后院太阳能板。该数据集被应用于《利用无人机计算机视觉进行地理参照》（[Using Computer Vision with Drones for Georeferencing](https://blog.roboflow.com/georeferencing-drone-videos/)）博文以及[开源DJI空中地理参照项目](https://github.com/roboflow-ai/dji-aerial-georeferencing)的构建。其中，共使用了53张图片和267个多边形进行标注，以此训练计算机视觉模型以实现从上方检测太阳能板。此乃收集和标注无人机视频数据，并利用其训练机器学习模型的实证演示。