ERIC dataset

该数据集包含了从五个不同地点的门铃摄像头收集的商品视频素材，旨在通过这些素材来估算降雨量，以优化灌溉效率。数据集不仅包含了使用OpenCV、FFmpeg和librosa处理过的视觉和音频特征，而且还作为评估用于降雨量估算的机器学习模型的基准。该数据集规模宏大，涵盖了多个地点的广泛数据收集，其任务是对降雨进行估算和检测。

This dataset contains commercial video footage collected from doorbell cameras at five distinct locations, with the goal of estimating rainfall to optimize irrigation efficiency. It includes visual and audio features processed using OpenCV, FFmpeg, and librosa, and serves as a benchmark for evaluating machine learning models used for rainfall estimation. This large-scale dataset encompasses extensive data collection across multiple locations, with its core tasks focusing on rainfall estimation and detection.