Camshaft Detection Dataset
#Image Classification #Object Detection #Anomaly Detection #Industrial Inspection #Quality Control #Automotive Manufacturing
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-14
AI Analysis & Value Prop
The Camshaft Detection Dataset aims to address the challenges in industrial camshaft inspection, which is critical for ensuring quality in automotive manufacturing. Current methods often struggle with variations in lighting and occlusions, leading to high false-negative rates. This dataset is designed to improve image recognition capabilities and enhance defect detection accuracy. The dataset consists of images collected under varying light conditions and with different occlusions, ensuring robustness. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high annotation precision. The data is stored in JPEG format, organized in a structured directory for easy access and retrieval.
Dataset Insights
Sample Examples
7acb5f47**.png|1007*1500|1.97 MB
3ad3412c**.png|951*1500|1.41 MB
a74c3e3a**.png|1117*1500|1.17 MB
78726aed**.png|1061*1500|1.38 MB
75f01c32**.png|1092*1500|2.37 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| camshaft_model | string | The specific model or type of the camshaft. |
| illumination_condition | string | The lighting conditions during image capture, such as bright, shadowed, dim, etc. |
| occlusion_level | string | The degree to which the camshaft is occluded in the image, such as unoccluded, partially occluded, fully occluded. |
| surface_condition | string | The condition of the camshaft surface, such as defect-free, scratched, rusted, etc. |
| camera_angle | string | The angle of the camera when capturing the image, such as frontal, side, top-down, etc. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 Camshaft Detection Dataset?
- The Camshaft Detection Dataset is an industrial dataset specifically designed for object detection tasks involving multiple models of camshafts.
- What are the main features of the Camshaft Detection Dataset?
- The main features of this dataset include the ability to recognize multiple models of camshafts and its adaptability to varying lighting conditions and occlusions.
- Why choose the Camshaft Detection Dataset for research?
- The Camshaft Detection Dataset is chosen for research due to its significant role in industrial applications for automated detection and quality control.
- How is the Camshaft Detection Dataset applied in an industrial environment?
- In an industrial environment, the Camshaft Detection Dataset can be used to train machine learning models for automated detection and classification of camshafts, improving production efficiency and product quality.
- What machine learning tasks is the Camshaft Detection Dataset suitable for?
- The Camshaft Detection Dataset is primarily used for object detection tasks and can also be applied to classification and tracking tasks in complex backgrounds.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Camshaft Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2986ba9164e0856fb87a3bfe07f6d920?dataset_scene_id=2},
urldate={2025-08-28},
keywords={camshaft detection dataset,industrial image recognition,automotive quality control,machine learning camshaft inspection},
version={1.0}
}Using this in research? Please cite us.
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