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Dataset of Electricity Meter Readings Across Diverse Conditions

Citation Author(s):
Hari Prabhat Gupta (IIT (BHU) Varanasi)
Chirag Tank (IIT (BHU) Varanasi)
Mansi Dodiya (IIT (BHU) Varanasi)
Mansi Singh
Submitted by:
Mansi Dodiya
Last updated:
DOI:
10.21227/zhbq-8c19
Data Format:
Average: 5 (1 vote)

Abstract

This dataset contains 570 JPEG images of electricity meters taken from varied locations within the IIT BHU campus, including the GTFRC and residential apartments. It showcases a broad range of real-world scenarios, with each image demonstrating different challenges such as varying lighting conditions, levels of focus and clarity, and a wide range of capture angles. These attributes test and enhance the robustness of technologies designed to interpret meter readings from photographs under diverse conditions. The dataset serves as a vital tool for refining and validating the precision of automated reading systems, ensuring they can accurately process data from any installation scenario.

Instructions:

To use this dataset:

1. Download the ZIP file from IEEE DataPort.

2. Extract the contents.

3. Load the images using your preferred image processing library.