Gear Detection Dataset

#Object Detection #Image Classification #Industrial Inspection #Quality Control
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The current industrial sector faces significant challenges in quality control, particularly in the detection and inspection of mechanical components like gears. Existing solutions often rely on manual inspection, which is time-consuming and prone to human error. This dataset aims to address the need for an automated and efficient method for gear detection, facilitating the quality assurance process. The dataset includes images captured under diverse lighting conditions and from various angles, ensuring comprehensive coverage of gear types. Data is collected using high-resolution cameras in a controlled environment, followed by a multi-stage quality control process involving expert reviews. The images are stored in JPEG format, organized into directories based on gear categories. Additionally, quality control measures include multiple rounds of annotation and consistency checks to ensure high accuracy.

Dataset Insights

Sample Examples

fbeb94f8**.png|1280*1578|2.65 MB

10965d79**.png|1280*1590|2.84 MB

d67d4c19**.png|1280*1565|2.20 MB

d71d9a43**.png|1280*1538|2.25 MB

bdae812d**.png|1280*1476|2.10 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
gear_typestringThe specific type of gear, such as helical or spur gear
gear_conditionstringThe condition of the gear can be determined as intact, worn, cracked, etc.
materialstringThe material composition of the gear, such as steel, cast iron, etc.
rust_presencebooleanWhether there is any rust on the gear surface.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Gear Object Detection Dataset?
The Gear Object Detection Dataset is an image dataset specially designed for industrial gear detection that aims to improve the accuracy and efficiency of object detection models.
In which applications can the Gear Object Detection Dataset be used?
This dataset can be used in various industrial applications, such as gear processing, quality inspection, and gear detection and recognition in automated production lines.
How can you use the Gear Object Detection Dataset to optimize machine learning models?
You can use this dataset as training data for machine learning models, configuring suitable algorithms and model parameters to improve their performance in industrial image recognition tasks.
How does this dataset differ from other object detection datasets?
This dataset focuses on the detection of industrial gears and provides more specialized industrial image material compared to object detection datasets in other fields.
What is the importance of the dataset in industrial gear detection?
In industrial gear detection, the dataset provides abundant training samples, which helps to improve the model's ability to recognize gear shapes and features, enhancing detection accuracy.

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Cite this Work

@dataset{Mobiusi2025,
  title={Gear Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/f292eca5e31cb114f23507f4e9c5bd7f?dataset_scene_id=2},
  urldate={2025-08-28},
  keywords={gear detection dataset,industrial image dataset,object detection,quality control},
  version={1.0}
}

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