Folding Chair Joint Slot Detection Dataset
#object detection #object recognition #product inspection #quality control #inventory management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-17
AI Analysis & Value Prop
With the rapid development of retail e-commerce, product quality and detection efficiency have become important challenges in the industry, especially in the field of object detection. Traditional methods often fail to meet the needs for high efficiency and high precision. Existing solutions such as manual inspection are not only costly but also inefficient and unable to meet large-scale product inspection demands. This dataset aims to provide a high-quality folding chair joint slot detection dataset to support the development and optimization of automated detection systems. Data collection is conducted with professional cameras under standard lighting conditions to ensure image clarity and consistency. Quality control is carried out through multiple rounds of annotation and expert review to ensure the accuracy and comprehensiveness of the data. Data is stored in JPEG format with a clear structure, facilitating subsequent processing and analysis.
Dataset Insights
Sample Examples
15de0aeb**.png|1122*1400|2.12 MB
73ae11cd**.png|1045*1400|1.52 MB
71b10cc0**.png|1046*1400|1.99 MB
4a435911**.png|1059*1400|1.78 MB
498bb60a**.png|1298*1400|2.50 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| joint_slot_presence | boolean | Indicates whether a joint slot is present in the image. |
| joint_slot_location | string | Specifies the location of the joint slot in the image (e.g., top, bottom, left, right). |
| joint_slot_condition | string | The specific condition of the joint slot, such as intact, damaged, etc. |
| chair_color | string | The color of the folding chair in the image. |
| background_clutter_level | string | The level of clutter in the background of the image, such as simple, moderate, complex. |
| lighting_condition | string | The lighting condition when the image was taken, such as bright or dim. |
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 Folding Chair Joint Slot Detection Dataset?
- The Folding Chair Joint Slot Detection Dataset provides high-quality annotated images for detecting joint slots in folding chairs, primarily used for quality control in e-commerce products.
- How is this dataset applied in the retail industry?
- The dataset uses object detection technology to identify key parts of folding chairs, ensuring product safety and functionality in quality control, thereby enhancing consumer trust in the product.
- Why is folding chair joint slot detection important for e-commerce?
- Detecting joint slots ensures the safety and stability of folding chairs in use, helping to reduce returns and customer complaints, and improving product ratings and sales on e-commerce platforms.
- What is the annotation process for such datasets?
- The annotation process typically involves manually labeling the joints and slots in each image of folding chairs to ensure each key point is accurately positioned, providing a basis for training detection models.
- What commercial value can be gained from using this dataset?
- Using this dataset can increase automation in product detection, reduce labor costs, improve supply chain efficiency, and enhance brand credibility among consumers.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Folding Chair Joint Slot Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/0f68877c67c4d7e98944a5ff0e70b1fb?dataset_scene_id=9},
urldate={2025-09-15},
keywords={folding chair detection, object detection dataset, e-commerce quality control, image recognition, machine learning},
version={1.0}
}Using this in research? Please cite us.
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