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metadata
tags:
  - target detection
  - image segmentation
  - button detection
  - OCR alignment
  - user interaction analysis
license: cc-by-nc-sa-4.0
task_categories:
  - object-detection
language:
  - en
pretty_name: Remote Control Button Area Detection Dataset
size_categories:
  - 1B<n<10B

Remote Control Button Area Detection Dataset

The current retail e-commerce industry faces low user interaction efficiency issues, especially in remote control usage scenarios where users often struggle to quickly find the needed buttons. Existing button detection solutions largely rely on traditional image processing technology, with insufficient annotation accuracy that fails to meet practical application needs. This dataset aims to address the limitations of existing technology in button-level understanding and OCR alignment by providing high-quality remote control button area detection data. The dataset contains 5000 images of remote controls. Data collection uses high-resolution cameras in standard lighting environments to ensure data clarity and annotation accuracy. For quality control, multiple rounds of annotation and expert review mechanisms are employed to ensure the consistency and accuracy of the annotations. The data storage format is JPG, and each image is equipped with a corresponding annotation file for ease of use.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
button_position string Records the coordinate position of each button on the remote control.
button_shape string The geometric shape of the button, such as circular, square, or oval.
button_size string The size specifications of the button, typically given as width x height.
button_color string The color information of the button, which may be used for classification or identification.
button_label string Text or symbols marked on the button, supporting OCR recognition.
button_material string The material used to manufacture the button, such as plastic or metal.
button_grouping string The grouping of buttons on the remote control, such as numeric keys or function keys.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com