Dataset: Image-Based Method for Automatic Spillway Ruler Reading

This dataset contains the training and test images used in the work detailed in the article: Schviderski, A., Nassu, B. T. Image-Based Method for Automatic Spillway Ruler Reading (10.1109/ACCESS.2026.3688802). It can be freely used for academic and non-commercial purposes. Commercial use is not permitted unless explicitly authorized. The dataset is provided "as is" without warranties of any kind, and the creators assume no responsibility for any consequences arising from its use. If you use the dataset, please cite our paper! A. Schviderski and B. T. Nassu, "Image-Based Method for Automatic Spillway Ruler Reading," in IEEE Access, vol. 14, pp. 68910-68919, 2026, doi: 10.1109/ACCESS.2026.3688802. @ARTICLE{11499408, author={Schviderski, Alexandre and Nassu, Bogdan Tomoyuki}, journal={IEEE Access}, title={Image-Based Method for Automatic Spillway Ruler Reading}, year={2026}, volume={14}, number={}, pages={68910-68919}, doi={10.1109/ACCESS.2026.3688802},} Contains about 27,000 images extracted from videos captured by various cameras while in maneuvers of the spillway gates in a variety of scenarios, in three different dams (A, B, C) each with a ruler model. They are separated as train and test to do a fine-tuning process of a deep learning detection model, as described in the article.Each subfolder inside the train and test folders is related to a unique camera from a specific gate of a dam to avoid data leakage, and each camera has images and labels from digits (0 to 9) and pointer locations, which are used to indicate the aperture value of the gate in meters, or in meters and decimeters.本数据集包含文献《基于图像的溢洪道标尺自动读取方法》（作者：Schviderski A.、Nassu B. T.，DOI: 10.1109/ACCESS.2026.3688802）中所使用的训练与测试图像。本数据集可免费用于学术研究及非商业用途，未经明确授权不得用于商业场景。 本数据集按“现状”提供，不附带任何形式的保证，数据集创作者不对因使用本数据集所产生的任何后果承担责任。 若使用本数据集，请引用本论文： A. Schviderski与B. T. Nassu，《基于图像的溢洪道标尺自动读取方法》，发表于IEEE Access，第14卷，第68910-68919页，2026年，DOI: 10.1109/ACCESS.2026.3688802。 @ARTICLE{11499408, author={Schviderski, Alexandre and Nassu, Bogdan Tomoyuki}, journal={IEEE Access}, title={Image-Based Method for Automatic Spillway Ruler Reading}, year={2026}, volume={14}, number={}, pages={68910-68919}, doi={10.1109/ACCESS.2026.3688802},} 本数据集包含约27000张图像，这些图像源自三台不同大坝（A、B、C，各配备一款专属标尺型号）在溢洪道闸门调度过程中多台摄像头所拍摄的视频，涵盖多种实际场景。 如论文所述，本数据集已划分为训练集与测试集，用于深度学习检测模型的微调流程。 为避免数据泄露，训练集与测试集文件夹内的每个子文件夹均对应某大坝特定闸门的唯一摄像头；每个摄像头对应的图像及标注包含0至9的数字与指针位置信息，用于标注闸门开度值（单位为米，或米与分米）。