Air Conditioner Remote Control Key Recognition Dataset

#Key Recognition #Image Classification #Human-Machine Interaction #Quality Control #Error Detection
  • 15000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

The current industrial sector faces challenges in ensuring accurate human-machine interactions, particularly in the recognition of remote control keys. Existing solutions often struggle with key misalignment and character errors, leading to operational inefficiencies. This dataset aims to address specific technical issues related to the accurate identification of key positions and labels, which are essential for improving interaction accuracy. The dataset is structured to include images captured under various lighting and positioning conditions. Data collection involved high-resolution cameras in controlled environments to ensure consistency. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high standards. The dataset is organized in JPG format, facilitating easy integration with machine learning models.

Dataset Insights

Sample Examples

73e365d4**.jpg|1080*1050|885.00 KB

2715766d**.jpg|1334*1334|24.97 KB

d7e6aa3c**.jpg|960*1280|39.54 KB

c2be17ed**.jpg|2107*2810|92.68 KB

26cfcfb7**.jpg|3024*4032|177.77 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
button_countintThe total number of buttons on the remote control.
button_typestringThe functional types of buttons on the remote control, such as power, temperature adjustment, mode selection, etc.
button_layoutstringThe layout or arrangement style of the buttons on the remote control.
button_textstringThe text labels on the buttons.
label_bounding_boxstringThe coordinates of the annotated bounding box in object detection.
button_shapestringThe geometric shapes of the buttons, such as round, square, oval, etc.
remote_colorstringThe color of the main body of the remote control.
button_colorstringThe color of the buttons.
logo_presencebooleanWhether there is a brand logo on the remote control.
infrared_emitter_locationstringThe position of the infrared emitter on the remote control relative to other buttons.

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 are the application scenarios of the air conditioner remote control button recognition dataset?
This dataset can be used to improve the smart recognition systems of air conditioner remote controls, optimizing human-computer interaction experience, and is suitable for smart home and industrial automation fields.
How does the air conditioner remote control button recognition dataset improve recognition accuracy?
By providing high-quality annotated data and diverse samples, this dataset assists in training more accurate object detection models, thereby improving button recognition accuracy.
Is this dataset applicable to other types of remote controls?
While this dataset is focused on air conditioner remote controls, its techniques and methods can be extended to object detection tasks for other types of remote controls.
What are the technical requirements for using the air conditioner remote control button recognition dataset?
Basic knowledge of computer vision and machine learning is required, along with familiarity with image processing and object detection frameworks such as TensorFlow or PyTorch.
What impact does this dataset have on the development of smart homes?
The application of the dataset can reduce remote control operation errors and enhance the response speed and accuracy of smart devices, thus advancing the development of smart homes.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2025,
  title={Air Conditioner Remote Control Key Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/21292bbe055fc6c91d3852cbd4d251b1},
  urldate={2025-08-28},
  keywords={air conditioner remote control dataset,key recognition dataset,industrial image dataset},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches