Smart Cat Eye Device Recognition Dataset
#object detection #image classification #feature extraction #security monitoring #customer interaction #smart home integration
- 15000 records
- 3.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-17
AI Analysis & Value Prop
The retail e-commerce industry faces significant challenges in effectively recognizing and categorizing various smart devices, which impacts customer experience and security. Current solutions often fall short due to limited datasets that do not cover the diversity of devices in real-world scenarios. This dataset aims to bridge this gap by providing a comprehensive collection of images that distinctly differentiate between intercom, surveillance, and AI recognition devices. It includes data collected through high-resolution cameras in diverse retail environments, ensuring a wide range of scenarios and lighting conditions. Quality control measures involve multiple rounds of annotation and validation by experts to maintain high accuracy and consistency. The data is organized in JPG format, with each file structured for easy access and processing.
Dataset Insights
Sample Examples
138ce587**.jpg|1224*1632|121.16 KB
597d8c45**.jpg|1224*1632|136.29 KB
fd6585fd**.jpg|1227*1629|126.31 KB
e1a1d045**.jpg|1029*1943|97.82 KB
345baa15**.jpg|1632*1224|70.52 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| device_type | string | The type of smart door camera in the image, such as doorbell type, surveillance type, etc. |
| environment_type | string | The type of environment when the image is taken, such as indoor, outdoor, etc. |
| lighting_condition | string | The lighting conditions when the image is taken, such as daytime, nighttime, bright, dim, etc. |
| device_brand | string | The brand of the device in the image. |
| device_color | string | The color information of the device in the image. |
| image_quality | string | The quality level of the image, such as high-definition, blur, etc. |
| texture_detail | string | The level of texture details of the device and environment in the image. |
| angle_of_view | string | The viewing angle or shooting angle of the device when the image is taken. |
| reflection_presence | boolean | Whether there is reflection caused by the device or environment in the image. |
| occlusion_present | boolean | Whether there is any obstruction of the device parts in the image. |
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 smart cat eye device recognition dataset?
- The dataset is primarily used to enhance the recognition capabilities of smart cat eye devices, helping them better identify different types of devices and environments.
- What types of images are included in the smart cat eye device recognition dataset?
- The dataset includes images of various device types and environmental scenes, used to train and test image classification models.
- How to use the smart cat eye device recognition dataset for image classification?
- The dataset can be used to train machine learning models to classify images by recognizing different image features.
- Why is the smart cat eye device recognition dataset important?
- It is important for enhancing the security and efficiency of smart devices in the retail industry, as it helps devices more accurately recognize environments.
- How can the retail industry benefit from the smart cat eye device recognition dataset?
- By using the dataset to improve device recognition accuracy, the retail industry can better monitor and manage in-store environments.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Smart Cat Eye Device Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/0f70a441d45ba57b10e3305dfbd1dd7a?dataset_scene_id=9},
urldate={2025-08-28},
keywords={smart cat eye dataset,device recognition dataset,retail e-commerce data,image dataset for AI},
version={1.0}
}Using this in research? Please cite us.
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