Datasets:
Tasks:
Image Classification
Modalities:
Text
Languages:
English
Size:
< 1K
Tags:
image classification
object detection
image recognition
smart projector
product classification
License:
Commit ·
391c83a
verified ·
0
Parent(s):
initial commit
Browse files- .gitattributes +60 -0
- README.md +59 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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# Image files - compressed
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README.md
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---
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tags:
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- image classification
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- object detection
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- image recognition
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- smart projector
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- product classification
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license: cc-by-nc-sa-4.0
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task_categories:
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- image-classification
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language:
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- en
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pretty_name: Smart Projector Image Classification Dataset
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size_categories:
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- 1B<n<10B
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---
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# Smart Projector Image Classification Dataset
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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.
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## Technical Specifications
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| file_name | string | File name |
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| quality | string | Resolution |
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| device_color | string | The color of the projector device's appearance in the image. |
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| device_shape | string | The shape features of the projector device. |
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| brand_logo_visible | boolean | Whether the brand logo of the projector is visible in the image. |
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| device_orientation | string | The orientation of the projector device in the image, such as horizontal or vertical. |
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| background_clarity | string | The clarity of the background in the image, such as blurry or clear. |
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| device_condition | string | The condition of the projector device in the image, such as new, old, or worn. |
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| lighting_condition | string | The lighting condition during the image capture, such as bright or dim. |
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## Compliance Statement
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<table>
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<tr>
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<td>Authorization Type</td>
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<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
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</tr>
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<tr>
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<td>Commercial Use</td>
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<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
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</tr>
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<tr>
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<td>Privacy and Anonymization</td>
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<td>No PII, no real company names, simulated scenarios follow industry standards</td>
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</tr>
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<tr>
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<td>Compliance System</td>
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<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
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</tr>
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</table>
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## Source & Contact
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If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/08703cf04810d9892f4e6a2d208e86ea?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
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