Dataset Viewer
Auto-converted to Parquet Duplicate
file_name
stringclasses
4 values
quality
stringclasses
4 values
obstruction_level
stringclasses
3 values
color_dominance
stringclasses
4 values
texture_complexity
stringclasses
4 values
background_clarity
stringclasses
4 values
8824dd1f89be1d85de80844ef2a8b272.png
1500*2232
low
beige
medium
medium
bb5ee8e58b2ca286c17d70956b1e1f4c.png
1500*1357
low
khaki
simple
blurry
c952c9eb8e4c9a5d9e6b47cc2394012f.png
1500*1024
Partially obstructed
Beige
Low
Clear
dfe28ccff4c821948f0807ab8bbd5420.png
1500*2816
Low
Light gray
Simple
High

Down Jacket Occlusion Image Dataset

The retail e-commerce industry faces significant challenges in accurately identifying apparel in images, particularly when occlusions occur, such as bags or hats obscuring parts of the clothing. Current solutions often struggle with occluded objects, leading to misclassification and poor user experiences. This dataset aims to address these challenges by providing a diverse set of images featuring down jackets with various occlusions. Data collection involved capturing images in different retail environments under varying lighting conditions using high-resolution cameras. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is organized in JPG format, with each image associated with detailed metadata regarding the type of occlusion and its unique identifier.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
obstruction_level float The proportion of the down jacket that is covered or occluded.
color_dominance string The most prominent color of the down jacket in the image.
texture_complexity float Describes the complexity of the surface texture of the down jacket.
background_clarity float The clarity of the image background, which helps in the accuracy of the detection algorithm.

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

Downloads last month
7