Smart Air Conditioner Image Classification Dataset
#image classification #object recognition #smart home #device recognition #user interaction
- Records
- 20000 records
- Size
- 3.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current smart device industry faces challenges such as increased complexity in user interaction and insufficient accuracy in device recognition. Existing solutions often rely on traditional image recognition technology, resulting in low accuracy and poor adaptability. The construction of the Smart Air Conditioner Image Classification Dataset aims to address this issue by providing high-quality image data to help models better adapt to user interfaces in different environments. Data collection is mainly conducted through images of smart air conditioner remote controls and control interfaces, captured using high-resolution cameras under various lighting conditions to ensure coverage of various real-world scenarios. For quality control, multi-round annotation and consistency checks are implemented to ensure annotation accuracy, with final review and confirmation by domain experts. The data storage format is JPEG, organized by image ID.
Overview
Dataset Insights
Preview
Sample Examples
ae0a6f46**.jpg|1080*1423|66.67 KB
574f3ebe**.jpg|1080*1430|120.64 KB
bc462bc4**.jpg|1080*1413|117.57 KB
0b09580b**.jpg|1080*1422|71.41 KB
c30bec40**.jpg|1080*1410|87.76 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_type | string | The specific type of image, such as: front, side, back. |
| object_count | int | The number of smart air conditioning devices appearing in the image. |
| ac_color | string | The color of the smart air conditioner device in the image. |
| ac_status | string | The current status of the air conditioner shown in the image, such as: on, off, standby. |
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 Smart Air Conditioner Image Classification Dataset?
- The Smart Air Conditioner Image Classification Dataset is a dataset focused on the task of image classification for smart air conditioner devices, aimed at enhancing device recognition and user interaction efficiency.
- What are the applications of the Smart Air Conditioner Image Classification Dataset?
- The dataset can be applied in areas such as smart device management, automated control systems, and user experience optimization.
- How can the Smart Air Conditioner Image Classification Dataset be used to improve recognition efficiency?
- By training image classification models, the dataset can help improve the recognition accuracy and efficiency of smart air conditioner devices.
- What machine learning models are suitable for the Smart Air Conditioner Image Classification Dataset?
- The dataset is suitable for training deep learning models such as Convolutional Neural Networks (CNN).
- What is the importance of image classification of smart air conditioners in the industry?
- In the smart device industry, image classification technology can significantly improve the accuracy of device recognition, thereby enhancing the overall user experience.
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Cite this Work
@dataset{Mobiusi2025,
title={Smart Air Conditioner Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/84edb3cee4258475628adf2b150ca57a?dataset_scene_id=6},
urldate={2025-09-15},
keywords={smart air conditioner, image classification dataset, smart device image recognition, image recognition dataset},
version={1.0}
}Using this in research? Please cite us.
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