Central Control Button Detection Dataset
#Object Detection #Image Classification #Human-Machine Interaction #Error Prevention #Button Detection
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-06-08
AI Analysis & Value Prop
In the current industrial landscape, the efficiency of human-machine interaction is crucial, yet many systems suffer from high error rates due to misoperation. Existing solutions often lack precision in button detection, leading to increased operational risks. This dataset aims to address the need for a robust training resource for button detection algorithms, facilitating the development of more reliable human-machine interfaces. The dataset is constructed from images captured in controlled environments using high-resolution cameras, ensuring clarity. Quality control measures include multi-round annotations and expert reviews to maintain consistency and accuracy. Data is stored in JPEG format, organized in a structured manner for easy access.
Dataset Insights
Sample Examples
885225c7**.jpg|1080*1335|753.30 KB
514e097c**.jpg|1080*1336|594.98 KB
d8f9f9d3**.jpg|1080*720|400.20 KB
3b80eeb1**.jpg|1080*1657|687.36 KB
f17d4fbf**.jpg|1080*1324|495.62 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| button_count | int | The number of control buttons detected in the image. |
| button_labels | string | The label or recognized name of each detected button. |
| button_positions | string | The specific position of each detected button in the image, usually as coordinate values. |
| button_colors | string | The color of the detected buttons, typically used for further identification and verification. |
| button_shape | string | The shape description of the detected buttons, common examples include circular, square, etc. |
| button_size | float | The size or area information of the detected buttons. |
| background_condition | string | Description of the background conditions appearing in the image, such as bright light, darkness, etc. |
| camera_angle | string | The angle of the camera at the time of capturing the image, such as frontal capture, side capture, etc. |
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 image modalities are included in the Central Control Button Detection Dataset?
- The Central Control Button Detection Dataset primarily includes image data modality information for object detection tasks.
- How is the Central Control Button Detection Dataset applied in the industrial field?
- In the industrial field, the dataset can be used to enhance the accuracy of human-machine interaction modules and reduce the rate of misoperation.
- Can the Central Control Button Detection Dataset be used to improve the accuracy of human-computer interaction?
- Yes, the dataset is specifically designed to improve the button recognition accuracy of human-computer interaction modules.
- What is the main purpose of the Central Control Button Detection Dataset?
- The main purpose of the dataset is to enhance button recognition accuracy and prevent misoperation, especially in industrial environments.
- How does the Central Control Button Detection Dataset help prevent misoperation?
- By accurately recognizing buttons, the dataset effectively reduces the likelihood of misoperation, thereby enhancing the safety and reliability of industrial systems.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Central Control Button Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/799a1ee70139e250c4dc994bb1ee93dc},
urldate={2025-08-28},
keywords={Central Control Button Detection,Industrial Button Detection,Human-Machine Interaction Dataset},
version={1.0}
}Using this in research? Please cite us.
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