Home/Retail/Milk Powder Baby Products Occluded Image Dataset

Milk Powder Baby Products Occluded Image Dataset

V1.0
Latest Update:
2026-01-14
Samples:
15000 records
File Size:
3.6G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
object recognition | image classification | retail analysis
Applications:
image segmentation | object detection

Brief Introduction

The retail e-commerce sector is currently facing challenges with effective product recognition due to occlusion in images, which can significantly hinder the customer experience. Existing solutions often rely on non-occluded images, limiting their effectiveness in real-world scenarios. This dataset aims to address the specific technical problem of identifying and classifying occluded baby product images, fulfilling the business need for enhanced image recognition capabilities in e-commerce. The dataset comprises images collected from various retail environments using high-resolution cameras, ensuring diverse occlusion scenarios. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. Data is stored in JPG format, organized into folders by category, and includes metadata files for easy access and processing.

Sample Examples

ImageFile NameResolutionImage BrightnessImage ContrastNumber Of TargetsDegree Of OcclusionDominant ColorSharpnessNoise LevelView AngleBackground ComplexityDepth Of Field
0567cff993c26043b407080f85c7a664.jpg1224*1632ModerateLow10.3BrownMediumLowTop-view angleSimpleShallow
44f05b0a200c9f69c93aa866db81933a.jpg1137*1384mediummedium10.1whitehighlow45 degreeslowshallow depth of field
2f04f78b95cc6059622081e1c982207b.jpg1224*1632mediumnormal10original wood colorclearlowoblique upward viewmediumshallow
82304cb34c4fe893be8efeebd173e2cc.jpg1224*1632medium brightnessmoderate30.2browngoodlowapproximately 45 degreessimpleshallow
cb0c2f18f59aaca60d14ed2f054aab20.jpg1227*1629mediummedium10bluehighlowfrontal viewsimpleshallow
7b32dae6c8d61f15db794737646890df.jpg1224*1632mediummoderate40.1wood colorhigherlowstandard viewsimpleoverall clear
51f4c9780a3d6dee6ec5aafff40c3d97.jpg1224*1632mediummoderate10.1brownhigherlowapproximately 45 degreeslowgood
5e904d2ac6ac80a9022982266b415a58.jpg1224*1632mediumhigh10whitehighlowmedium narrow sidemediumshallow depth of field
aaf9bb483683e4d91b58d5ec2ddf7c27.jpg1224*1632moderatemoderate10grayhighlowslightly tiltedmediumshallow depth of field
c0a403a2a817535a3b71d42b6262756f.jpg1337*1495mediumhigh10whitehighlownarrowsimpleshallow

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
image_brightnessfloatThe overall brightness value of the image, used to determine the lighting conditions of the image.
image_contrastfloatThe contrast value of the image reflects the difference between light and dark.
number_of_objectsintThe number of specific commodity targets detected in the image.
occlusion_levelfloatThe extent to which products are blocked in the image, ranging from 0 to 1.
dominant_colorstringThe dominant color in the image.
sharpnessfloatThe sharpness measurement of the image.
noise_levelfloatThe noise level in the image, indicating the quality of the image.
angle_of_viewintThe horizontal viewing angle of the camera when capturing the image.
background_complexityintThe complexity of the background in the image, affecting the difficulty of target recognition.
focus_depthfloatThe depth of field range of the image, affecting the clear display of the product.

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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