Smart Curtain Image Classification Dataset

#image recognition #classification tasks #smart home #automation control #IoT
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The current smart device industry is rapidly developing, and the market demand for electric curtains and remote-controlled curtains is continuously increasing. However, existing image recognition technologies have a low recognition rate in complex environments, leading to poor user experience. Existing solutions have shortcomings in both accuracy and real-time performance. This dataset aims to improve the recognition rate of electric curtains by providing diverse curtain images, meeting the market demand for smart home automation control. Data collection is done using high-resolution cameras under different lighting and angles to ensure image quality. We implement strict quality control measures, including multiple rounds of annotation and expert review, to ensure consistency and accuracy of the labels. Data is stored in JPG format and organized into folders by category for ease of use.

Dataset Insights

Sample Examples

11f4d9c1**.jpg|1080*1297|128.67 KB

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
curtain_typestringIdentify the type of curtain, such as roller blinds or venetian blinds.
curtain_materialstringIdentify the material of the curtain, such as fabric or plastic.
curtain_colorstringIdentify the color of the curtain, including possible combinations of multiple colors.
operation_statusstringIdentify the current operation status of the curtain, such as open, closed, raised, or lowered.
pattern_detectionstringDetect if there are specific patterns or designs on the curtain.
lighting_conditionsstringIdentify the lighting conditions around the curtain in the image, such as shadows or natural light.
mounting_typestringIdentify the mounting type of the curtain, such as wall-mounted or ceiling-mounted.
control_mechanismstringIdentify the control mechanism of the curtain, such as wireless control or manual control.
room_typestringIdentify the type of room where the curtain is located, such as living room or bedroom.
smart_featuresstringIdentify whether the curtain has smart features, such as automatic adjustment.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What application scenarios is the Smart Curtain Image Classification Dataset suitable for?
This dataset is suitable for image recognition of smart home devices and development of electric curtain control systems.
How to use the Smart Curtain Image Classification Dataset for machine learning model training?
The dataset can be used for training image recognition models of electric curtains, using image classification algorithms to improve the recognition accuracy of smart devices.
What are the main features of the Smart Curtain Image Classification Dataset?
This dataset provides diverse and high-resolution images of electric curtains, supporting the recognition of different curtain categories.
What are the technical advantages of using the Smart Curtain Image Classification Dataset?
Using this dataset can enhance the automation control level of smart curtain products and optimize curtain recognition algorithms.
What is the importance of the Smart Curtain Image Classification Dataset in the smart device industry?
In the smart device industry, this dataset helps promote the intelligent development of electric curtains and enhances the technological innovation capability of products.

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Cite this Work

@dataset{Mobiusi2025,
  title={Smart Curtain Image Classification Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/9ab996a3adfe70e61a650597365b8bdf?dataset_scene_id=6},
  urldate={2025-09-15},
  keywords={smart curtain, image classification, electric curtain dataset, image recognition, smart home},
  version={1.0}
}

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