Datasets:
file_name stringclasses 4
values | quality stringclasses 3
values | object_type stringclasses 1
value | occlusion_level stringclasses 2
values |
|---|---|---|---|
3a8bdb8b15cad1d2c994646ef395ed23.jpg | 1280*1431 | toilet paper | unobstructed |
85cb1724fb7a505a0ef7af02b6584296.jpg | 1280*1593 | toilet paper | partially occluded |
af8a8f30ba378235e348c85e54d73dd9.jpg | 1280*1706 | toilet paper | partially occluded |
ca00f7beb732aa7126bbd5ebc031bb13.jpg | 1280*1706 | toilet paper | partially occluded |
Household Paper Products Occlusion Image Dataset
Currently, the retail e-commerce industry faces challenges in accurately detecting and categorizing household paper products due to varying packaging designs and occlusions in images. Existing datasets often lack diversity in terms of occlusion scenarios and packaging types, leading to reduced model performance in real-world applications. This dataset aims to address these issues by providing a comprehensive collection of images featuring various household paper products like Kleenex, Scott, Charmin, and Tempo, focusing on different occlusion conditions. Data is collected using high-resolution cameras in controlled environments, ensuring clarity and detail. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high annotation precision. The images are stored in JPG format, organized by product type and occlusion level, facilitating easy access and use in training algorithms.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The specific type of household paper items in the image, such as toilet paper, tissue paper, etc. |
| occlusion_level | float | The degree of occlusion of household paper items in the image, a real number between 0 and 1. |
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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