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Related Experiment Video

Updated: Apr 30, 2026

A Strain Gauge Monitor SGM for Continuous Valve Gape Measurements in Bivalve Molluscs in Response to Laboratory Induced Diel-cycling Hypoxia and pH

A Strain Gauge Monitor SGM for Continuous Valve Gape Measurements in Bivalve Molluscs in Response to Laboratory Induced Diel-cycling Hypoxia and pH

Published on: August 1, 2018

A Large-Scale Synthetic Benchmark for Robust Analog Gauge Reading.

Yiheng Deng¹, Yunfeng Yan², Weizhen He¹

¹College of Electrical Engineering, Zhejiang University, Hangzhou, China.

Scientific Data

|April 28, 2026

Summary

This summary is machine-generated.

This study introduces SyncG, a large synthetic dataset for training computer vision models to read analog gauges. It overcomes data scarcity for automated gauge reading and industrial data acquisition.

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Published on: March 1, 2019

Area of Science:

Computer Vision
Machine Learning
Industrial Automation

Background:

Analog gauges are crucial for industrial data acquisition.
Automated reading is hindered by a lack of large, annotated datasets.
This data bottleneck limits computer vision algorithm development.

Purpose of the Study:

Introduce SyncG, a large-scale synthetic benchmark dataset.
Address the critical data gap for automated analog gauge reading.
Facilitate the development of robust computer vision models for industrial applications.

Main Methods:

Developed a generative framework using Blender and Python.
Produced 20,000 high-resolution, photorealistic gauge images.
Created an automated annotation pipeline for diverse ground-truth data.

Main Results:

Generated a diverse dataset across 145 environmental settings.
Enabled precise control over measurement attributes and visual appearances.
Provided detailed annotations for object detection, segmentation, and OCR.

Conclusions:

SyncG benchmark facilitates training and evaluation of gauge-reading models.
Supports exploration of computer vision challenges with clock-like representations.
Accelerates advancements in industrial data acquisition and AI interpretation.