Datasets:
tags:
- Target detection
- image recognition
- Temperature adjustment
- switch operation recognition
- smart home
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Water Heater Control Panel Detection Dataset
size_categories:
- 1B<n<10B
Water Heater Control Panel Detection Dataset
In the current retail e-commerce industry, the proliferation of smart home devices has led to an increasing demand for automatic recognition of their control panels. However, existing detection technologies have low recognition rates in complex environments, making it difficult to meet practical application needs. This dataset aims to provide high-quality images of water heater control panels to improve the accuracy and robustness of target detection algorithms. The data in the dataset is sourced from water heater control panels photographed in various environments, using high-resolution image capture equipment to ensure clarity and detail. We have implemented strict quality control measures, including multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy and consistency of the annotations. The data is stored in JPG format, organized as structured files containing images and their related annotations.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| panel_type | string | The type of water heater control panel, such as digital, knob, touchscreen, etc. |
| button_count | int | The number of buttons on the water heater control panel. |
| display_size | string | The size of the display on the panel, for example, 2 inches. |
| label_language | string | The language used for labels on the panel, such as Chinese, English. |
| indicator_light_count | int | The number of indicator lights on the panel. |
| material_type | string | The main material type of the control panel, such as plastic, metal. |
| color | string | The color of the control panel. |
| brand_label | string | The visible brand label on the control panel. |
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