Electronic Scale Size Classification Dataset
#Image Classification #Object Detection #Product Classification #Inventory Management #Visual Search
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-14
AI Analysis & Value Prop
In the retail e-commerce sector, there is a growing demand for accurate categorization of various electronic scales to enhance customer shopping experiences. However, existing solutions often struggle with misclassification due to the variety of designs and sizes available. This dataset aims to address these challenges by providing a robust collection of images categorized into different scale types, including mini portable scales, kitchen scales, and body scales. The data is sourced through a combination of online scraping and direct partnerships with manufacturers, ensuring diversity in the images collected. Quality control measures include multiple rounds of labeling, consistency checks, and expert reviews to maintain high standards of accuracy. The dataset is organized in a JPG format, with a clear structure for easy access and use.
Dataset Insights
Sample Examples
d95982bd**.jpg|1885*1060|157.13 KB
0c9daba5**.jpg|1224*1632|183.25 KB
641eb5d1**.jpg|1224*1632|215.45 KB
1803d84e**.jpg|1224*1632|186.60 KB
df07fbd4**.jpg|1224*1632|86.39 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| scale_type | string | The type of electronic scale recognized by appearance |
| brand_logo_presence | boolean | Whether there is a prominent brand identification in the image |
| display_type | string | The type of display of the electronic scale, such as LCD or LED |
| button_count | int | The number of buttons on the electronic scale |
| color_main | string | The main color of the electronic scale |
| max_weight_capacity | string | The maximum weighing capacity of the electronic scale as indicated in the image. |
| unit_displayed | string | The measurement units displayed on the electronic scale, such as kg, lb, etc. |
| shape | string | The shape of the electronic scale, such as round, square, etc. |
| power_source_type | string | The power type of the electronic scale, such as battery or plug-in. |
| material_type | string | The main material of the electronic scale's casing. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 Electronic Scale Size Classification Dataset?
- The main purpose of the Electronic Scale Size Classification Dataset is to aid in accurate product classification, especially in the retail industry, by classifying electronic scales based on size.
- What kind of images does this dataset contain?
- This dataset contains images of various electronic scales, intended for image analysis tasks related to size classification.
- How can the Electronic Scale Size Classification Dataset be applied in the retail industry?
- In the retail industry, the Electronic Scale Size Classification Dataset can be used to automate the classification and management of electronic scales, enhancing the efficiency of inventory management and sales analysis.
- What size categories are included in the image classification of the Electronic Scale Size Classification Dataset?
- The image classification of the Electronic Scale Size Classification Dataset may include various size categories such as small, medium, and large electronic scales.
- On what basis are the images in the dataset classified?
- The images in the dataset are classified based on the size of the electronic scales to better meet analytical needs in the retail market.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Electronic Scale Size Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/5889cb3aa1c7e01a3fd70cd555f4b8d1},
urldate={2025-08-28},
keywords={electronic scale dataset,scale classification images,retail e-commerce dataset,image classification for scales},
version={1.0}
}Using this in research? Please cite us.
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