Vacuum Cleaner Control Area Detection Dataset
#object detection #image recognition #smart home #appliance control #user interaction
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
With the rapid development of retail e-commerce, the application of smart home products is becoming increasingly widespread. Vacuum cleaners, as an important household appliance, face challenges such as inconvenient user interaction and unclear control areas. Current solutions mostly rely on traditional physical buttons or remote controls, lacking intelligent interaction methods. This dataset aims to address the need for vacuum cleaners in user control area recognition and function switching through object detection technology. Data collection methods include using high-resolution cameras to capture vacuum cleaner operation scenarios in real home environments, ensuring diversity and realism. For data quality control, we adopted multiple rounds of annotation and consistency checks to ensure annotation accuracy. Data is stored in JPG format, organized into image and corresponding annotation information files. This dataset will provide important support for research in the smart home domain.
Overview
Dataset Insights
Preview
Sample Examples
05c886d2**.png|2000*3550|3.95 MB
cd1d9cf3**.png|2000*2740|1.54 MB
13b642f7**.png|2000*2617|2.70 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vacuum_brand | string | Identify and label the brand of the vacuum cleaner in the image. |
| vacuum_model | string | Identify and label the model of the vacuum cleaner in the image. |
| control_panel_location | string | Annotate the location of the control panel of the vacuum cleaner in the image. |
| control_panel_features | string | Describe and annotate the features on the control panel, such as buttons and switches. |
| operating_state | string | Identify and annotate the current operating state of the vacuum cleaner (e.g., on/off). |
| surface_type | string | Detect and annotate the type of surface the vacuum cleaner operates on, such as carpet or hard floor. |
| obstacle_presence | boolean | Annotate whether there are obstacles in the image that may hinder the movement of the vacuum cleaner. |
| lighting_conditions | string | Describe the lighting conditions in the image, such as bright or dim. |
| vacuum_direction | string | Annotate the movement direction of the vacuum cleaner in the image. |
Trust
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
FAQ
Frequently Asked Questions
- What is the Vacuum Cleaner Control Area Detection Dataset?
- The Vacuum Cleaner Control Area Detection Dataset focuses on detecting the operational areas of vacuum cleaners, primarily for research in smart home scenarios.
- What application scenarios is this dataset suitable for?
- This dataset is mainly suitable for applications such as robot vacuum navigation and area identification in smart home environments.
- What types of images are included in the dataset?
- The dataset mainly includes images related to vacuum cleaner operation, such as images showing the vacuum cleaner in different positions within a room.
- How can this dataset be used for object detection research?
- You can use the annotations in the dataset to train deep learning models for identifying and detecting vacuum cleaner control areas.
- How does this dataset support smart home applications?
- By identifying vacuum cleaner control areas, this dataset can help improve the automation of cleaning and path planning functionalities in smart home devices.
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Cite this Work
@dataset{Mobiusi2025,
title={Vacuum Cleaner Control Area Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a2498878ada803ca69774cc03dbf7d53?cate=2},
urldate={2025-09-15},
keywords={vacuum cleaner dataset, object detection dataset, smart home data, appliance control},
version={1.0}
}Using this in research? Please cite us.
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