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file_name
stringclasses
5 values
quality
stringclasses
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obstruction_level
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4 values
folded_state
stringclasses
2 values
background_complexity
stringclasses
4 values
017ce8399932e7684d52f39ff6573fcd.jpg
1280*1219
partially obstructed
worn
simple
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1280*960
partially obstructed
worn
complex
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1280*2276
unobstructed
worn
simple
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1280*1008
partial obstruction
worn
medium
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1280*2200
Unobstructed
Worn
Simple

POLO Shirt Occlusion Image Dataset

The retail e-commerce industry faces significant challenges with product visibility due to various occlusions, such as clothing folds and body postures that obscure branding. Existing solutions often fail to accurately identify and classify products under these conditions, leading to reduced sales and customer dissatisfaction. This dataset aims to address the specific need for robust algorithms that can effectively handle occlusions in product images, enhancing visibility and recognition for better customer engagement. The dataset comprises images collected from diverse retail environments, utilizing high-resolution cameras in controlled lighting to ensure clarity. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to maintain high accuracy. The data is organized in a JPG format, with structured folders for easy access to images and associated metadata.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
obstruction_level string The degree to which the polo shirt is occluded in the image, for example, partially occluded or fully occluded.
folded_state string The state of the polo shirt in the image, whether it is hanging, folded, or worn.
background_complexity string The complexity of the background in the image, such as simple or complex.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com

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