Datasets:
file_name stringclasses 5 values | quality stringclasses 5 values | knob_position stringclasses 4 values | interaction_zone stringclasses 5 values |
|---|---|---|---|
015de3ae7dea05b7e5280b17c6d73c01.jpg | 1280*1907 | Middle to the left | The area directly in front of the stove |
902112e60b8761126132316378bf8e30.jpg | 1632*1224 | Left and right | The front area of the stove |
bd92a84613bc329445809d17212383dd.jpg | 1757*1138 | middle | front area of the stove |
ca2231b47cdde2c27997cab1fd82806c.jpg | 1414*1414 | middle bottom | area in front of the stove |
fa788e40d21725302dea984d6d1e3c82.jpg | 2108*948 | Left and right | The front panel area around the knob |
Stovetop Knob Interaction Area Detection Dataset
The current retail e-commerce industry faces a shortage of user interaction data, especially in the interactive experience of smart home appliances. Existing solutions mostly rely on user feedback and simple recording methods, lacking systematic data support, making it difficult for product designs to meet user needs. This dataset aims to provide high-quality image data through target detection of the stovetop knob interaction area to help R&D teams better understand user behavior and improve product design. Data collection uses high-resolution cameras in a controlled environment to ensure image clarity. Each image undergoes multiple rounds of annotation, with personnel professionally trained to ensure consistency and accuracy. In addition, experts will review the annotation results to ensure data quality. Data is stored in JPEG format, organized by category and label, facilitating subsequent retrieval and use.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| knob_position | string | The position of the stove knob in the image, such as left, right, or center. |
| interaction_zone | string | The area on the image where user interaction, such as touching or rotating the knob, occurs. |
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
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