Vacuum Cleaner Model Recognition Dataset
#Image Classification #Model Recognition #Product Classification #Image Recognition #E-commerce Optimization
- 15000 records
- 2.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-18
AI Analysis & Value Prop
In the retail e-commerce industry, accurately identifying vacuum cleaner models is crucial for enhancing customer experience and optimizing search results. However, existing solutions often struggle with the diversity of models and image quality, leading to misclassification and dissatisfaction. This dataset aims to address these challenges by providing a comprehensive collection of images representing various vacuum cleaner types, facilitating more accurate model recognition. The data was collected using high-resolution cameras in controlled lighting environments to ensure clarity. Quality control measures involved multi-round annotations and expert reviews to maintain high labeling accuracy. The data is organized in JPG format, with each image accompanied by metadata for easy access and analysis. The dataset provides a strong foundation for training models that can reliably distinguish between different vacuum cleaner designs.
Dataset Insights
Sample Examples
3a6bb89d**.jpg|1629*1227|256.52 KB
c5943a18**.jpg|1224*1632|514.60 KB
434f4a75**.jpg|1224*1632|138.31 KB
f2196a05**.jpg|1224*1632|189.46 KB
5e1bc1cd**.jpg|1224*1632|112.89 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| model_number | string | The specific model number of the vacuum cleaner, used to distinguish different models. |
| brand_name | string | The name of the brand to which the vacuum cleaner belongs. |
| color | string | The color of the vacuum cleaner body. |
| design_type | string | The design type of the vacuum cleaner, such as upright, canister, handheld, etc. |
| feature_list | string | The main functions of the vacuum cleaner, such as intelligent navigation, silent mode, etc. |
| material | string | The material of the vacuum cleaner housing or some components, such as plastic, metal, etc. |
| size_dimensions | string | The external dimensions of the vacuum cleaner, such as the specific values of length, width, and height. |
| weight | string | Information about the weight of the vacuum cleaner. |
| nozzle_type | string | The type of nozzle equipped with the vacuum cleaner, such as floor nozzle, crevice nozzle, etc. |
| bag_type | string | The type of dust bag used in the vacuum cleaner, such as disposable, washable, etc. |
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 vacuum cleaner model recognition dataset?
- The vacuum cleaner model recognition dataset is an image classification dataset used to identify different types of vacuum cleaner models, primarily applied for product classification and intelligent recommendations on e-commerce platforms.
- What industry is the vacuum cleaner model recognition dataset used for?
- This dataset is used in the retail industry, especially for optimizing product classification and recommendation systems on e-commerce platforms.
- How can the vacuum cleaner model recognition dataset be used for product classification?
- You can use this dataset to train an image classification model that can identify and categorize different vacuum cleaner models, thus enabling automated product classification on e-commerce platforms.
- What are the main advantages of the vacuum cleaner model recognition dataset?
- The main advantages of this dataset are enhancing the search accuracy and recommendation effectiveness of vacuum cleaner products on e-commerce platforms, thereby improving user experience and sales conversion rates.
- Which businesses can benefit from the vacuum cleaner model recognition dataset?
- E-commerce platforms, home appliance retailers, and any platforms with online product displays can benefit from it by optimizing product classification and recommendations to improve user satisfaction.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Vacuum Cleaner Model Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/8c39dee43d342c84a4bf3715438b0e17?dataset_scene_id=9},
urldate={2025-08-28},
keywords={vacuum cleaner dataset,image recognition dataset,e-commerce classification,model recognition,AI training dataset},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder