Water Meters - Dataset Ninja

Introduction #

Roman Kucev

The Water Meters Dataset comprises a wide array of images depicting water meters, complete with associated segmentation masks and OCR labels for meter readings. The data was collected using Yandex.Toloka. Please note that this description is just a sample of the data. For comprehensive information, refer to the dataset’s homepage.

Homepage

Blog Post

Summary #

Water Meters Dataset is a dataset for semantic segmentation and object detection tasks. It is used in the utilities industry.

The dataset consists of 1244 images with 1244 labeled objects belonging to 1 single class (water meter data).

Images in the Water Meters dataset have pixel-level semantic segmentation annotations. All images are labeled (i.e. with annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2020 by the TrainingData.pro, UAE.

Explore #

Water Meters dataset has 1244 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

Sample annotation mask from Water Meters

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Have a look at 1244 images

View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Rows 1-1 of 1

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
water meter data➔ mask	1244	1244	1	2.31%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Rows 1-1 of 1

Class	Object count	Avg area	Max area	Min area	Min height	Min height	Max height	Max height	Avg height	Avg height	Min width	Min width	Max width	Max width
water meter data mask	1244	2.31%	15.09%	0.28%	31px	2.33%	679px	67.9%	141px	11.22%	47px	3.53%	947px	79.2%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Objects #

Table contains all 1244 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Rows 1-10 of 1244

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	water meter data mask	id_656_value_143_044.jpg	1000 x 1333	80px	8%	336px	25.21%	1.86%
2➔	water meter data mask	id_46_value_647_254.jpg	1333 x 1000	106px	7.95%	362px	36.2%	1.67%
3➔	water meter data mask	id_28_value_81_998.jpg	1333 x 1000	72px	5.4%	410px	41%	1.83%
4➔	water meter data mask	id_1042_value_30_011.jpg	1333 x 1000	52px	3.9%	267px	26.7%	0.82%
5➔	water meter data mask	id_237_value_15_381.jpg	1333 x 1000	115px	8.63%	479px	47.9%	3.87%
6➔	water meter data mask	id_230_value_80_351.jpg	1333 x 1000	113px	8.48%	375px	37.5%	2.11%
7➔	water meter data mask	id_763_value_169_244.jpg	1333 x 1000	135px	10.13%	509px	50.9%	4.68%
8➔	water meter data mask	id_35_value_469_334.jpg	1333 x 1000	94px	7.05%	392px	39.2%	2.42%
9➔	water meter data mask	id_731_value_231_041.jpg	1333 x 1000	93px	6.98%	305px	30.5%	1.57%
10➔	water meter data mask	id_97_value_368_218.jpg	1778 x 1000	97px	5.46%	374px	37.4%	1.39%

License #

Water Meters Dataset is under CC BY-NC-ND 4.0 license.

Source

Citation #

If you make use of the Water Meters data, please cite the following reference:

@dataset{Water Meters,
	author={Kucev Roman},
	title={Water Meters Dataset},
	year={2020},
	url={https://www.kaggle.com/datasets/tapakah68/yandextoloka-water-meters-dataset}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-water-meters-dataset,
  title = { Visualization Tools for Water Meters Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/water-meters } },
  url = { https://datasetninja.com/water-meters },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { nov },
  note = { visited on 2024-11-21 },
}

Download #

Dataset Water Meters can be downloaded in Supervisely format:

As an alternative, it can be downloaded with dataset-tools package:

pip install --upgrade dataset-tools

… using following python code:

import dataset_tools as dtools

dtools.download(dataset='Water Meters', dst_dir='~/dataset-ninja/')

Make sure not to overlook the python code example available on the Supervisely Developer Portal. It will give you a clear idea of how to effortlessly work with the downloaded dataset.

The data in original format can be downloaded here.

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Disclaimer #

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