Smart Projector Image Classification Dataset

#image classification #object detection #image recognition #smart projector #product classification
  • 5000 records
  • 1.7G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-11

AI Analysis & Value Prop

With the rapid development of smart devices, a variety of portable projectors have emerged in the market. In practical applications, accurately recognizing and classifying the appearance images of these projectors has become a technical challenge. Current image recognition technology often yields poor classification results due to insufficient datasets or inaccurate annotations when dealing with different brands and models of projectors. To address this issue, we have constructed the Smart Projector Image Classification Dataset to improve the accuracy and efficiency of image recognition. This dataset includes appearance images of projectors from various brands and models. Data collection is conducted using high-resolution cameras under different lighting and angles to ensure diversity and representativeness of the images. Data annotation has gone through multiple rounds of review and consistency checks to ensure the accuracy and reliability of the annotations. Data is stored in standard JPEG format to facilitate subsequent processing and usage.

Dataset Insights

Sample Examples

f0004a90**.jpg|960*1280|142.99 KB

27ea765d**.jpg|960*1280|77.80 KB

ef0b07bc**.jpg|1280*960|106.93 KB

d23da543**.jpg|1103*1280|66.17 KB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/08703cf04810d9892f4e6a2d208e86ea},
  urldate={},
  keywords={},
  version={}
}

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