--- 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 # **Dataset Description** This dataset was created to support Article X and is available on [Roboflow](https://universe.roboflow.com/visiongauge/utm_dataset-ooorv) and [Hugging Face](https://huggingface.co/datasets/claytonsds/UTM_Dataset). 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** ![dataset distribution](https://github.com/ClaytonSdS/VisionGauge/blob/main/steps/dataset_distribution_hf.png?raw=true) * **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** ```bibtex @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} } ```