Industrial Gauge Video Dataset for Evaluating MMLM Dynamic Meter Reading

This dataset contains industrial gauge video data for evaluating multimodal large models (MLLMs) on dynamic meter reading tasks. Contents:- Video files of industrial gauges Potential use cases:- Dynamic meter reading- Industrial visual inspection- Multimodal understanding and reasoning- Benchmarking MLLMs on video-based measurement tasks File format:- Packaged as a ZIP archive Related resources- This dataset is accompanied by a GitHub repository containing the evaluation scripts, experimental code, and benchmark results:- GitHub repository: https://github.com/aMa2210/VLM_gauge- The repository provides code and resources for testing and analyzing model performance on this dataset. Notes- Please cite this dataset if you use it in your research.本数据集收录工业仪表视频数据，用于评估多模态大模型（Multimodal Large Models, MLLMs）在动态仪表读数任务中的表现。 数据集内容： - 工业仪表视频文件 潜在应用场景： - 动态仪表读数 - 工业视觉检测 - 多模态理解与推理 - 针对基于视频的测量任务的多模态大模型基准测试 文件格式： - 打包为ZIP压缩归档文件 相关资源： - 本数据集配套包含评估脚本、实验代码与基准测试结果的GitHub仓库，仓库地址为：https://github.com/aMa2210/VLM_gauge - 该仓库提供用于在本数据集上测试与分析模型性能的代码及相关资源 使用说明： - 若在研究中使用本数据集，请引用该数据集。