Robotic Vacuum Cleaner Image Classification Dataset
#Image classification #object recognition #deep learning #Smart home #robot recognition #visual recognition
- 5000 records
- 1.3G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The smart device industry is rapidly developing, especially in the home cleaning sector, where robotic vacuum cleaners have become important assistants for household cleaning. However, there is a lack of high-quality image classification datasets on the market, leading to challenges for existing robots in recognizing and classifying different types of vacuum cleaners. Current solutions often rely on simple pattern recognition and lack precision. This dataset aims to provide a rich set of robotic vacuum cleaner images to help develop smarter visual recognition systems. The data is captured using high-resolution cameras, under well-lit indoor conditions to ensure image quality. To ensure data accuracy, a multi-round annotation and expert review mechanism is used. The data is stored in JPG format, organized by category for quick access and processing.
Dataset Insights
Sample Examples
84bf30b4**.jpg|1080*1414|52.23 KB
6fd0c891**.jpg|1080*1440|161.14 KB
e06aca4c**.jpg|1080*1899|109.76 KB
9914ad5a**.jpg|1080*1414|110.75 KB
3c42ead4**.jpg|1080*1888|134.75 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| number_of_objects | int | The number of main objects identified in the image. |
| scene_category | string | The category of the scene depicted in the image, such as indoor or outdoor. |
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 types of images are included in the robot vacuum image classification dataset?
- The dataset typically includes images of robot vacuums in various operating modes, from different angles, and in multiple environments.
- How can the images in this dataset be applied to the smart home industry?
- The images can be used to develop visual recognition algorithms for smart home devices, enhancing the automation and efficiency of robot vacuums.
- What problems can be solved using the robot vacuum image classification dataset?
- It can solve problems related to obstacle detection and path planning faced by robot vacuums during recognition and navigation.
- What is the importance of image classification datasets in the smart device field?
- Image classification datasets help smart devices accurately recognize objects, enhancing device interactivity and user experience.
- What is the main goal of the robot vacuum image classification dataset?
- The main goal is to improve the visual recognition capabilities of robot vacuums, enabling them to perform cleaning tasks more efficiently.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Robotic Vacuum Cleaner Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a0b8fc9a42b292df71e48fcecff7a346?dataset_scene_id=6},
urldate={2025-09-15},
keywords={Robotic vacuum cleaner, image classification dataset, smart devices, deep learning},
version={1.0}
}Using this in research? Please cite us.
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