The dataset consists of photographs of water meters. For each meter, readings are recorded, and a segmentation mask is created for the reading area. The dataset solves problems in OCR and enables the automation of work for utility services and Smart City technologies

Water Meters

Data Labeling
Data collection
Gathering data for subsequent annotation
Highlighting objects in photos to train systems to recognize and interpret them
Ability of a machine to interpret, analyze, and understand visual data
Communal services
The use of machine learning in automating the work of communal services
Computer Vision
1 244
annotated photos of water meters
The dataset in .csv format
a link to the photo of each meter in JPG format
readings data for each meter
a link to the segmentation mask for each photo in JPG format
coordinates for the reading annotation
the name of the country in which each photo was taken
Top views on Kaggle
29 928
1 962
9.41 / 10
usability score on Kaggle
March 2023
Additional services
Collecting images and videos with readings from meters in 200+ countries
Data annotation according to the provided technical task: including classification by models, segmentation of readings
Compilation of metadata on 30+ attributes: geography, time and device of shooting, lighting, meter models, and others
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