Irregular Mechanical Parts Automatic Classification Detection Dataset
#Image Classification #Object Detection #Part Inventory #Visual Sorting System
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current industrial sector faces challenges such as the manual inspection of irregular parts, which is time-consuming and prone to human error. Existing solutions often lack the accuracy and speed needed for efficient production lines. This dataset aims to address the technical problem of automating the classification and detection of irregular mechanical parts, fulfilling the business need for enhanced operational efficiency. The dataset includes images captured using high-resolution cameras in controlled environments, ensuring consistent lighting and focus. Quality control measures involve multiple rounds of annotation, consistency checks among different annotators, and expert reviews to validate the accuracy of classifications. Data is stored in JPG format, organized by categories of mechanical parts and associated metadata.
Dataset Insights
Sample Examples
27bcb94f**.png|1280*1215|2.02 MB
18739033**.png|1280*944|1.71 MB
12d5581f**.png|1280*1534|2.22 MB
0f77059c**.png|1280*705|1.18 MB
c540628c**.png|1280*1229|2.27 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The category or type of mechanical parts identified. |
| surface_condition | string | Surface defects or conditions of mechanical parts (e.g., smoothness, rust, wear). |
| size_category | string | Size category based on actual dimensions (e.g., small, medium, large). |
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 Abnormal Mechanical Parts Automatic Classification and Detection Dataset?
- The Abnormal Mechanical Parts Automatic Classification and Detection Dataset is a dataset for object detection tasks, containing image data of abnormal mechanical parts to support automatic classification and detection.
- Which industries is this dataset suitable for?
- This dataset is mainly suitable for the industrial sector, especially for scenarios involving the recognition and detection of abnormal mechanical parts.
- How can this dataset be used to improve the accuracy of automated detection?
- By using this dataset to train machine learning models, the accuracy and efficiency of automated detection systems can be improved, enabling accurate classification and detection of mechanical parts.
- What is the impact of the dataset on the industrial sector?
- The dataset can help the industrial sector improve automation levels, reduce errors and time consumption in manual detection, and enhance production efficiency.
- What types of research and development does this dataset support?
- The dataset supports research and development in machine vision and automated detection systems, advancing the technology of object detection.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Irregular Mechanical Parts Automatic Classification Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/eb5135f94c17adc30ba5a9ab70d2a0a3},
urldate={2025-08-28},
keywords={Irregular Mechanical Parts Dataset,Automatic Classification,Industrial Image Dataset},
version={1.0}
}Using this in research? Please cite us.
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