Bearing Target Detection Dataset
#Object Detection #Image Classification #Mechanical Inspection #Bearing Model Recognition
- 15000 records
- 3.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
In the current industrial landscape, quality control in mechanical assembly lines faces challenges such as misidentification of bearing types and inconsistent inspection results. Existing solutions often rely on manual inspection, which can lead to human errors and inefficiencies. This dataset aims to address the challenge of automated bearing detection and classification, fulfilling the need for reliable quality assurance processes. The data is collected using high-resolution cameras in controlled environments, ensuring optimal lighting and minimal background noise. Quality control measures include multi-round annotations, consistency checks, and expert reviews to guarantee data accuracy. The dataset is organized in JPG format with structured folders for easy access and retrieval. Each image is accompanied by a JSON file detailing annotations and quality scores.
Dataset Insights
Sample Examples
3a5490ef**.png|1280*1254|2.56 MB
fdd8bf44**.png|1280*1472|1.93 MB
5776106b**.png|1280*1556|2.29 MB
d84cd00c**.png|1280*1492|1.10 MB
d30c2167**.png|1280*1666|2.30 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of bearing targets in the image. |
| object_class | string | The category label of the bearing target, distinguishing different types or models of bearings. |
| defect_type | string | Types of defects detected in bearings, such as wear, cracks, etc. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the bearing object detection dataset?
- The bearing object detection dataset is a collection of images specifically designed for detecting bearings in mechanical assembly lines to improve quality inspection efficiency.
- What are the application areas of the bearing object detection dataset?
- This dataset is mainly used in the industrial sector, specifically in automated quality inspection on mechanical assembly lines.
- What are the benefits of using the bearing object detection dataset?
- Using this dataset can improve the automation efficiency of quality inspection in mechanical assembly lines, reducing errors and costs associated with manual inspections.
- How can the bearing object detection dataset be applied in industrial production?
- The dataset can be used to train machine learning models for automatically detecting bearings on production lines, enhancing automation levels.
- What modalities are included in the bearing object detection dataset?
- The dataset includes image modality for object detection tasks.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Bearing Target Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/38c2533e403fbb4d72fd92291eb6943c?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Bearing Detection Dataset,Industrial Quality Control,Machine Learning for Inspection,Image Dataset for Object Detection},
version={1.0}
}Using this in research? Please cite us.
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