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update: README.md
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README.md
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license: apache-2.0
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task_categories:
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- image-classification
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language:
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- en
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tags:
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- image-regression
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pretty_name: U-Tube Manometer Dataset 2025-2026
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size_categories:
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- 10K<n<100K
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---
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---
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license: apache-2.0
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task_categories:
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- image-classification
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- image-regression
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language:
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- en
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- pt
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tags:
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- image-regression
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- image-classification
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- u-tube-manometer
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- gauge-reader
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- water-column
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pretty_name: U-Tube Manometer Dataset 2025-2026
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size_categories:
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- 10K<n<100K
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---
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# U-Tube Manometer Dataset (2025–2026)
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This dataset contains images of **U-tube manometers** and is designed for **computer vision regression and classification tasks**, focusing on reading and interpreting liquid column levels.
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---
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## Dataset Summary
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The **U-Tube Manometer Dataset** consists of 20,000 images of U-tube manometers with visible water columns. The dataset is suitable for:
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* **Image Regression**: estimating the numerical value of the water column height
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* **Image Classification**: classifying images based on discrete column values or ranges
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Images are organized in a folder structure where the **label is encoded in the directory name**, representing the measured water column value.
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---
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## Supported Tasks
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* Image Regression
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* Image Classification
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---
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## Data Structure
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The dataset follows a standard split structure:
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```
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dataset/
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├── train/
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│ ├── 10.2/
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│ │ ├── image23.png
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│ │ └── ...
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│ ├── 10.4/
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│ └── ...
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├── validation/
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│ ├── 9.8/
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│ └── ...
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└── test/
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├── 10.0/
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└── ...
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```
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* Each subfolder name corresponds to the **label value** (e.g., water column height).
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* Images inside the folder share the same label.
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---
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## Labels
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* **Type**: Numerical (float)
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* **Description**: Water column height (e.g., in centimeters or equivalent unit)
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* **Source**: Encoded directly in the directory name
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For classification tasks, labels can be treated as discrete classes.
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---
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## Dataset Size
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* **Total images**: 20,000
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---
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## Image Characteristics
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* RGB images
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* Varying lighting conditions
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* Varying working fluids (water, oil, water–ink mixtures)
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* Single U-tube manometer per image
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* Visible liquid columns and scale markings
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---
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## Intended Use
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This dataset is intended for:
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* Training and evaluating regression models for visual measurement
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* Benchmarking image-based gauge reading systems
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* Research in applied computer vision for instrumentation
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---
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## Limitations
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* Performance may vary under extreme lighting or occlusion conditions
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---
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## License
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This dataset is released under the **Apache License 2.0**.
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---
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## Citation
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If you use this dataset in your research, please cite:
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```bibtex
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@dataset{u_tube_manometer_2025,
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title={U-Tube Manometer Dataset},
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year={2025},
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license={Apache-2.0}
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}
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```
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