Datasets:

claytonsds
/

UTM_Dataset

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

Dataset Description

This dataset was created to support Article X and is available on Roboflow and Hugging Face.

It consists of images of U-tube manometers constructed using a transparent PVC water level hose (5/16" × 1 mm) and flexible measuring tapes of different colors, each with a length of 150 cm (60 inches). The manometric fluids represented in the dataset include water, oil, and dyed water. The dataset is intended for computer vision regression and classification tasks, specifically targeting the reading of liquid column levels.

The dataset includes 48,218 augmented images, derived from 20,036 unique original images. All annotations were performed using the RoboFlow Annotate Tool, with label precision within ± 0.1 cm.

Dataset Split

Training set: 42274 images
Validation set: 5319 images
Test set: 625 images

Data Structure

The dataset follows a standard split structure:

dataset/
├── train/
│   ├── 10.2/
│   │   ├── image23.png
│   │   └── ...
│   ├── 10.4/
│   └── ...
├── validation/
│   ├── 9.8/
│   └── ...
└── test/
│    ├── 10.0/
│    └── ...
└── dataset_mapping.csv

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

License

This dataset is released under the Apache License 2.0.

Citation

@dataset{utm_dataset,
    author    = {Santos, Clayton Silva},
    title     = {{UTM} {Dataset}},
    year      = {2026},
    month     = {jan},
    publisher = {Roboflow},
    version   = {27},
    doi       = {10.5281/zenodo.18259826},
    url       = {https://universe.roboflow.com/visiongauge/utm_dataset-ooorv}
}