Datasets:
tags:
- image classification
- deep learning
- feature extraction
- smart home
- device recognition
- brand classification
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Smart Speaker Image Classification Dataset
size_categories:
- 1B<n<10B
Smart Speaker Image Classification Dataset
The current smart speaker market is highly competitive with diverse brands and forms, leading to difficulties for consumers in identification when making purchases. Existing image datasets mostly focus on general products, lacking classification datasets specifically for smart speakers, resulting in obvious deficiencies in brand identification and appearance classification. This dataset aims to help develop more efficient smart speaker recognition systems through precise image classification. Data collection was done using high-resolution cameras in different environments to ensure diversity and adaptability to real-world scenarios. In terms of quality control, a combination of multiple rounds of annotation and expert review was adopted to ensure consistency and accuracy in labeling. Data is stored in JPEG format with a clear structure, facilitating subsequent use and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| brand | string | The brand name of the smart speaker. |
| category | string | The category or model of the smart speaker. |
| color | string | The color of the smart speaker. |
| material | string | The material of the smart speaker's casing. |
| shape | string | The shape of the smart speaker. |
| logo_presence | boolean | Whether the brand logo is visible on the smart speaker in the image. |
| button_count | int | The number of visible buttons on the smart speaker. |
| display_screen | boolean | Whether the smart speaker has a display screen. |
| size_measurement | string | The dimensions of the smart speaker (width x height x depth). |
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