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:2026-02-04

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

FieldTypeDescription
file_namestringFile name
qualitystringResolution
device_colorstringThe color of the projector device's appearance in the image.
device_shapestringThe shape features of the projector device.
brand_logo_visiblebooleanWhether the brand logo of the projector is visible in the image.
device_orientationstringThe orientation of the projector device in the image, such as horizontal or vertical.
background_claritystringThe clarity of the background in the image, such as blurry or clear.
device_conditionstringThe condition of the projector device in the image, such as new, old, or worn.
lighting_conditionstringThe lighting condition during the image capture, such as bright or dim.

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

Frequently Asked Questions

What are the application scenarios for the Intelligent Projector Image Classification Dataset?
This dataset can be applied to image recognition systems in smart devices, such as smart home projectors and mobile projectors, to enhance the ability of devices to recognize different models and brands.
How many different projector images are included in this dataset?
The dataset includes images of various models and brands of portable projectors to enrich the diversity of classification.
How can the Intelligent Projector Image Classification Dataset be used to improve image classification algorithms?
Researchers can use this dataset for model training and validation to improve the accuracy and efficiency of image classification algorithms in recognizing portable projectors.
What is the role of the Intelligent Projector Image Classification Dataset in the smart device industry?
In the smart device industry, this dataset can help developers enhance the automatic detection and classification capabilities of devices for projectors, thereby improving user experience.
What is the goal of the Intelligent Projector Image Classification Dataset?
The goal of this dataset is to enhance the classification accuracy of smart devices for portable projector images and to promote the application of image recognition technology in smart devices.

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Cite this Work

@dataset{Mobiusi2025,
  title={Smart Projector Image Classification Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/08703cf04810d9892f4e6a2d208e86ea?dataset_scene_id=6},
  urldate={2025-09-15},
  keywords={smart projector, image classification dataset, image recognition, portable projector},
  version={1.0}
}

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