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Mobiusi/Oat-Milk-Product-Occlusion-Image-Dataset

Oat Milk Product Occlusion Image Dataset The retail e-commerce industry is facing challenges in accurately identifying products in images where brand logos or packaging may be occluded. Existing solutions often struggle with the variability in occlusion types and the impact they have on image recognition accuracy. This dataset aims to address these specific challenges by providing a comprehensive collection of occluded product images featuring brands like Oatly, Silk, and Alpro.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Oat-Milk-Product-Occlusion-Image-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face

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Dataset Card

Oat Milk Product Occlusion Image Dataset

The retail e-commerce industry is facing challenges in accurately identifying products in images where brand logos or packaging may be occluded. Existing solutions often struggle with the variability in occlusion types and the impact they have on image recognition accuracy. This dataset aims to address these specific challenges by providing a comprehensive collection of occluded product images featuring brands like Oatly, Silk, and Alpro. The data is collected using high-resolution cameras in controlled environments, ensuring optimal lighting and clarity. Quality control measures involve multiple rounds of annotations, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is stored in JPEG format, organized by brand and occlusion type for easy access and analysis.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_count	int	The number of identifiable target objects in the image.
object_type	string	The type of goods identified in the image, such as oat milk packaging, bottle caps, etc.
occlusion_level	string	The degree to which various objects in the image are occluded, for example: no occlusion, partial occlusion, full occlusion.
object_position	string	The position coordinates of the target within the image, such as a rectangle defined by (x, y, width, height).
background_complexity	string	The complexity of the image background, for example: simple, complex.
light_condition	string	The lighting conditions at the time the image was taken, such as: bright, dim.
image_clarity	string	The clarity of the image, for example: clear, blurry.
contrast_level	string	The contrast level of the image, for example: high contrast, medium contrast, low contrast.

Compliance Statement

<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>

Source & Contact

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