---
license: apache-2.0

task_categories:
  - image-classification

language:
  - en
  - pt

tags:
  - image-regression
  - image-classification
  - u-tube-manometer
  - gauge-reader
  - water-column

pretty_name: U-Tube Manometer Dataset 2025-2026

size_categories:
  - 10K<n<100K
---

# U-Tube Manometer Dataset (2025–2026)

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.

* Performance may vary under extreme lighting or occlusion conditions
  
---

## Dataset Summary

The **U-Tube Manometer Dataset** consists of 20,000 images of U-tube manometers with visible water columns. The dataset is suitable for:

* **Image Regression**: estimating the numerical value of the water column height
* **Image Classification**: classifying images based on discrete column values or ranges

Images are organized in a folder structure where the **label is encoded in the directory name**, representing the measured water column value.

---

## Data Structure

The dataset follows a standard split structure:
```
dataset/
├── train/
│   ├── 10.2/
│   │   ├── image23.png
│   │   └── ...
│   ├── 10.4/
│   └── ...
├── validation/
│   ├── 9.8/
│   └── ...
└── test/
    ├── 10.0/
    └── ...
```

* Each subfolder name corresponds to the **label value** (e.g., water column height in centimeters).
* Images inside the folder share the same height value.

---

## Image Characteristics

* RGB images
* Varying lighting conditions
* Varying working fluids (water, oil, water–ink mixtures)
* Single U-tube manometer per image
* Visible liquid columns and scale markings

---

## License

This dataset is released under the **Apache License 2.0**.

---

## Citation

If you use this dataset in your research, please cite:

```bibtex
@dataset{utm_dataset,
	title     = {U-Tube Manometer Dataset},
	author    = {Santos, Clayton Silva},
	year      = {2026},
	publisher = {Hugging Face},
	url       = {https://huggingface.co/datasets/claytonsds/UTM_DATASET}
}

```