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product_category
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occlusion_level
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Cleaner
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Cleaner
Partially Occluded
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Cleaner
Partially Occluded
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Cleaning Agent
Partially Obstructed
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Cleaner
Partially Occluded
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Household Cleaning Products Occlusion Image Dataset

The retail e-commerce industry faces significant challenges in accurately recognizing products that are partially obstructed in images. Current models often struggle with occlusion, leading to decreased performance in product detection and search functionalities. Existing datasets lack sufficient diversity in occluded images, making it difficult for machine learning models to generalize. This dataset aims to address these challenges by providing a rich collection of images featuring common household cleaning products like Lysol, Clorox, Mr. Clean, and Vanish, captured in various occlusion scenarios. The data was collected using high-resolution cameras in controlled environments to ensure clarity and consistency. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is organized in JPG format, with images structured in folders by product type, facilitating easy access and integration into machine learning workflows. The dataset contains 15,000 images, and the file size is estimated at 1.8 GB.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
product_category string The category of household cleaning products in the image, such as cleaning agents, brooms, mops, etc.
occlusion_level string The level of occlusion of household cleaning products in the image, such as partially occluded, fully occluded, or not occluded.
background_complexity string The complexity of the image background, such as simple, complex, ordinary.

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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