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tags:
  - image classification
  - object recognition
  - object detection
  - image segmentation
  - fashion analysis
license: cc-by-nc-sa-4.0
task_categories:
  - image-classification
language:
  - en
pretty_name: Down Jacket Occlusion Image Dataset
size_categories:
  - 1B<n<10B

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