Home/Retail/Juice Product Occlusion Image Dataset

Juice Product Occlusion Image Dataset

V1.0
Latest Update:
2026-01-14
Samples:
5000 records
File Size:
1.2G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
product recognition | image classification | inventory management
Applications:
object detection | image segmentation

Brief Introduction

In the current retail e-commerce industry, there is a significant challenge in accurately recognizing products that are partially obscured by packaging or other objects. Existing solutions often struggle with occluded images, resulting in reduced accuracy in product identification and customer dissatisfaction. This dataset aims to address these challenges by providing a diverse collection of images featuring various juice products, such as Tropicana and Minute Maid, under different occlusion scenarios. The data was collected using high-resolution cameras in controlled lighting conditions to ensure clarity and consistency. Rigorous quality control measures were implemented, including multiple rounds of annotation and expert reviews to ensure the reliability of the labels. The dataset is organized in JPG format and consists of structured image files alongside their respective annotations.

Sample Examples

ImageFile NameResolutionObject TypeOcclusion LevelImage BrightnessImage ContrastBackground ClarityLabel VisibilityDominant ColorLabel Orientation
d3bc9f83a28d332c4f3e5855434ecd2c.png331*672juice bottlepartially obscuredslightly darkmediumblurredpartially visiblegreenupright
f2008a17e40a58814d7753f20eb21155.png301*677juice bottlepartially occludednormalnormalclearfully visiblegreenupright
0055a1c57115ea426e87e85b5f295c7f.png257*641juice bottlepartially occludedmoderatemoderateclearfully visibleyellowfront
35f32cd45e271b1dd6c28dbc1c5b40f3.png463*680juice bottlepartially occludedmoderatemoderateclearfully visibleyellowno significant rotation

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
object_typestringThe type of the main object in the image, such as juice bottle, cup, etc.
occlusion_levelstringThe level of occlusion of objects in the image, such as no occlusion, partial occlusion, complete occlusion.
image_brightnessfloatThe brightness value of the image, reflecting the overall lighting condition of the image.
image_contrastfloatThe contrast value of the image, reflecting the level of light and dark contrast in the image.
background_claritystringThe clarity description of the image background, such as blurry or clear.
label_visibilitystringThe visibility of juice beverage product labels in the image, such as fully visible, partially visible, not visible.
dominant_colorstringThe most dominant color in the image, such as red, green, blue, etc.
label_orientationstringThe orientation of the juice drink label in the image, such as the angle of rotation up, down, left, or right.

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

Can't find the data you need?

Post a request and let data providers reach out to you.