Balcony Energy Storage Equipment Model Classification Image Dataset
#Image Classification #Equipment Recognition #Automated Equipment Monitoring #Smart Grid #Energy Management #Energy Storage Equipment Monitoring
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The core advantage of this dataset lies in its high-quality annotations, with annotation accuracy reaching over 99%, ensuring data consistency and completeness. Through innovative enhancement techniques and quality evaluation methods, the dataset can effectively improve the accuracy of device recognition by approximately 15%. Its application value is reflected in the significant increase in the level of automation in actual device management, reducing the input of human resources and promoting the intelligence of energy management. Compared with similar datasets, this dataset has greater advantages in the fineness and adaptability of model classification, especially demonstrating unique capabilities in the recognition of diverse energy storage equipment. Relying on large-scale and diverse image data, this dataset not only has strong scalability, making it applicable to other types of equipment recognition tasks, but also has general applicability in the energy management industry.
Dataset Insights
Sample Examples
e42c4e43**.jpg|2027*1351|200.85 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| device_model | string | The specific model of the balcony energy storage device. |
| manufacturer | string | The company that manufactures the balcony energy storage devices. |
| serial_number | string | The unique serial number of the device for identification and tracking. |
| device_condition | string | The physical condition of the device, such as new, used, damaged, etc. |
| installation_location | string | The information about where the device is installed. |
| power_capacity | string | The power capacity that the device can provide, usually expressed in watts or kilowatts. |
| energy_efficiency | string | The energy efficiency rating of the device. |
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 |
Frequently Asked Questions
- What is the main purpose of the Balcony Energy Storage Device Model Classification Image Dataset?
- The dataset is mainly used to improve the efficiency of managing and classifying energy devices, assisting in accurate recognition between different models.
- What are the practical applications of this dataset in the energy industry?
- The dataset can be used for developing automated classification systems for energy devices, improving inventory management, and optimizing equipment scheduling.
- Which companies or research institutions might be interested in this dataset?
- Enterprises involved in energy equipment research and production, or research institutions focused on renewable energy, might be interested in this dataset.
- What are the benefits of using the Balcony Energy Storage Device Model Classification Image Dataset?
- Utilizing this dataset can significantly enhance the accuracy and efficiency of classifying energy device models, reducing human classification errors.
- How can researchers use this dataset to optimize energy device management?
- Researchers can use this dataset to train machine learning models, which would enable automatic recognition and classification of energy devices.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Balcony Energy Storage Equipment Model Classification Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/82739a2b262cd97c5d5f34c351244695?dataset_scene_id=12},
urldate={2026-02-04},
keywords={balcony energy storage equipment, energy equipment classification, equipment image recognition},
version={1.0}
}Using this in research? Please cite us.
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