| | --- |
| | tags: |
| | - image classification |
| | - object recognition |
| | - smart home |
| | - device recognition |
| | - user interaction |
| | license: cc-by-nc-sa-4.0 |
| | task_categories: |
| | - image-classification |
| | language: |
| | - en |
| | pretty_name: Smart Air Conditioner Image Classification Dataset |
| | size_categories: |
| | - 1B<n<10B |
| | --- |
| | |
| | # Smart Air Conditioner Image Classification Dataset |
| |
|
| | 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. |
| |
|
| | ## 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. | |
| | |
| | ## Compliance Statement |
| | |
| | <table> |
| | <tr> |
| | <td>Authorization Type</td> |
| | <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> |
| | </tr> |
| | <tr> |
| | <td>Commercial Use</td> |
| | <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> |
| | </tr> |
| | <tr> |
| | <td>Privacy and Anonymization</td> |
| | <td>No PII, no real company names, simulated scenarios follow industry standards</td> |
| | </tr> |
| | <tr> |
| | <td>Compliance System</td> |
| | <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> |
| | </tr> |
| | </table> |
| | |
| | ## Source & Contact |
| | |
| | If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/84edb3cee4258475628adf2b150ca57a?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com |
| | |
