Drawer Handle Detection Dataset
#object detection #image classification #product recognition #automated warehousing #robot navigation
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
In the current retail e-commerce industry, automated identification and handling of products are important means to improve efficiency. However, many existing object detection technologies have insufficient identification accuracy in complex environments, especially in the case of diverse product forms. Our dataset aims to address the recognition accuracy issue in object detection by providing high-quality images of drawer handles and their annotations. The dataset contains 5000 annotated images of drawer handles, captured in high resolution and in diverse environments. During data collection, professional photography equipment was used to shoot under both natural and artificial light to ensure image quality. On the quality control side, the annotations were subjected to multiple rounds of labeling and consistency checks to ensure their accuracy. Data is stored in JPEG format, organized as JSON files containing images and corresponding annotations.
Dataset Insights
Sample Examples
00b7fa87**.jpg|1280*960|160.08 KB
1586399c**.jpg|1280*1574|409.34 KB
2c1ab917**.jpg|1280*719|109.85 KB
fc29a769**.jpg|1280*1706|229.14 KB
c79759f2**.jpg|1280*1706|248.30 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| handle_type | string | Identifies the type of drawer handle, such as bar, recess, etc. |
| material | string | The material of the drawer handle, such as metal, plastic, wood, etc. |
| color | string | The color of the drawer handle, used for identification and classification. |
| texture | string | Describes the surface texture characteristics of the drawer handle. |
| orientation | string | The installation orientation of the drawer handle, such as horizontal or vertical. |
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
- Which industry is this dataset primarily used for?
- This dataset is primarily used for the retail industry.
- What is the purpose of this dataset?
- The purpose of this dataset is to train models to identify the pullable region of drawer handles.
- What type of data modality does the dataset contain?
- The dataset contains image data modality.
- What is the main function of the dataset?
- The main function of the dataset is for object detection tasks, specifically identifying drawer handles in products.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Drawer Handle Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/55f9ecc5f1357ea61234fd7ffa3ee97d?dataset_scene_id=9},
urldate={2025-09-15},
keywords={drawer handle detection, object detection dataset, retail e-commerce, image recognition},
version={1.0}
}Using this in research? Please cite us.
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