Oil Filter Detection Dataset
#Object Detection #Image Classification #Industrial Inspection #Quality Control
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-09-20
AI Analysis & Value Prop
The Oil Filter Detection Dataset aims to address the challenges faced in the industrial sector regarding the correct installation of oil filters. Currently, industries often rely on manual inspections, which can be error-prone and inefficient. Existing solutions lack automation and fail to ensure consistent quality, leading to potential operational failures. This dataset focuses on providing a comprehensive collection of images for training machine learning models that can accurately detect whether oil filters are properly installed. The data was collected using high-resolution cameras in controlled industrial environments, ensuring clarity and detail. Quality control measures included multi-round annotations and expert reviews to ensure high labeling accuracy. The data is organized in a JPG format, with each image paired with relevant metadata, such as installation status and timestamps. The dataset consists of 5000 images, totaling approximately 1.2GB in size, making it suitable for various machine learning applications.
Dataset Insights
Sample Examples
b40109d3**.jpg|1280*720|108.34 KB
7842c596**.jpg|2000*1500|289.16 KB
6f91ccc0**.jpg|1706*960|60.42 KB
860610fa**.jpg|2400*1800|97.23 KB
6ae73f2a**.jpg|1536*864|133.52 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| filter_present | boolean | Indicates whether an oil filter is present in the image. |
| filter_location_x | int | The X-coordinate position of the oil filter in the image. |
| filter_location_y | int | The Y-coordinate position of the oil filter in the image. |
| filter_orientation | string | The installation orientation of the oil filter in the image. |
| filter_condition | string | Assessment of the physical condition of the oil filter, such as good, damaged, or dirty. |
| installation_status | string | Assessment of whether the filter is installed correctly based on image recognition results, including statuses such as installed and not properly installed. |
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 Oil Filter Detection Dataset?
- The Oil Filter Detection Dataset is an object detection dataset used for recognizing and detecting whether the oil filter is properly installed.
- What types of data does this dataset include?
- The dataset includes image modality data specifically for object detection tasks.
- Which industry is the Oil Filter Detection Dataset suitable for?
- This dataset is primarily applicable to the industrial sector, especially in fields related to mechanical maintenance.
- What purposes can be achieved by using this dataset?
- Using this dataset allows for detecting and confirming whether the oil filter is correctly installed, helping to improve equipment maintenance and operational efficiency.
- How does this dataset help applications in the industrial field?
- By automating filter detection, this dataset can reduce human errors and ensure equipment reliability and safety.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Oil Filter Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/00cb607fb7ca0397733dfa6c535ad157},
urldate={2025-08-28},
keywords={Oil Filter Dataset,Industrial Image Dataset,Machine Learning Oil Filter Detection},
version={1.0}
}Using this in research? Please cite us.
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