Home/Retail/Mineral Water Product Occlusion Image Dataset

Mineral Water Product Occlusion Image Dataset

V1.0
Latest Update:
2026-01-12
Samples:
10000 records
File Size:
3.0G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Product Identification | Image Recognition | E-commerce Applications
Applications:
Object Detection | Image Segmentation

Brief Introduction

The retail e-commerce industry is evolving rapidly, yet it faces significant challenges in accurately identifying products in images, particularly those with occluded packaging, such as Evian and Fiji. Existing solutions often struggle with occlusion detection and fail to provide sufficient training data for machine learning models. This dataset aims to address these technical challenges by providing a comprehensive collection of images featuring mineral water products in various states of occlusion. The images were collected using high-resolution cameras in controlled environments, ensuring clarity and consistency. Quality control measures included multiple rounds of annotation, consistency checks, and expert reviews to ensure data integrity. The dataset is stored in JPG format, organized systematically by product type and occlusion level.

Sample Examples

ImageFile NameResolutionOcclusion LevelLabel VisibilityBottle OrientationCap PresenceLighting ConditionReflection IntensityMaterial Type
71df8776d53a6d9775d57fe29e19a008.png1821*1500partially occludedclearly visiblehorizontalwith capbrightmediumplastic
3150000d661caa30af9cb0b930fcffe0.png1481*15000%VisibleVerticalWith CapBrightModeratePlastic
ab3a8dbc29b2c8d231dfe2a05647de6b.png937*1280Partially OccludedVisibleVerticalWithout CapBrightModeratePlastic
4463c5abc9d61aac7cd49d77107d85dc.png1155*1500Not Noticeably OccludedVisibleVerticalWith CapBrightModeratePlastic

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
occlusion_degreefloatThe proportion of mineral water bottles that are occluded in the image.
label_presencebooleanWhether the label on the mineral water bottle is visible.
bottle_orientationstringThe orientation of the mineral water bottle in the image, such as 'horizontal', 'vertical', etc.
cap_presencebooleanWhether the mineral water bottle in the image has a cap.
lighting_conditionstringThe lighting condition in the image, such as 'bright', 'dim', etc.
reflection_intensityfloatThe intensity of reflection caused by the transparency of the mineral water bottle in the image.
material_typestringThe material of the mineral water bottle, such as 'plastic', 'glass', etc.

Compliance Statement

ItemContent
Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs

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