Outdoor Jacket Occlusion Image Dataset

#Image Classification #Segmentation #Occlusion Handling #Image Recognition #Object Detection #Fashion Analysis
  • 15000 records
  • 3.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The retail e-commerce industry is increasingly challenged by the need for precise image recognition and object detection under varying conditions such as occlusions and reflections from materials like rain gear and backpacks. Existing datasets often fall short in representing these complex scenarios, leading to reduced model performance in real-world applications. This dataset aims to address these challenges by providing a comprehensive collection of outdoor jacket images featuring various types of occlusions and environmental reflections. Data was collected using high-resolution cameras in diverse outdoor settings, ensuring a wide range of weather conditions and occlusion types. Quality control measures included multiple rounds of annotation, consistency checks, and expert reviews to maintain high annotation accuracy and reliability. The dataset is organized in JPG format, with images stored in a structured directory that allows easy access and retrieval.

Dataset Insights

Sample Examples

707ee1ae**.jpg|994*1212|84.59 KB

f298a3ff**.jpg|1224*1632|231.32 KB

43e58778**.jpg|1224*1632|238.56 KB

c4f9a857**.jpg|1224*1632|252.11 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
jacket_colorstringThe primary color of the outdoor jacket, which may include multiple colors.
jacket_brandstringThe brand of the jacket, identified by trademark or brand label.
jacket_typestringThe specific type of jacket, such as a shell jacket, trench coat, etc.
jacket_sizestringThe size information of the jacket, such as S, M, L, etc., identified by the label.
jacket_patternstringPatterns that may exist on the jacket, such as stripes, checks, etc.
jacket_conditionstringThe physical condition of the jacket, such as new, slightly worn, heavily worn, etc.
obscuring_objectsstringThe type of object causing the jacket to be occluded, such as a bag, other clothing, etc.
jacket_featuresstringNotable features on the jacket, such as zippers, pockets, hoods, etc.
background_scenestringThe type of background scene when the image is taken, such as urban, rural, indoor, etc.

Compliance Statement

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

Frequently Asked Questions

What research fields is this dataset suitable for?
This outdoor jacket occlusion recognition image dataset is mainly suitable for research in the retail and e-commerce sectors, particularly for technology development related to computer vision and image recognition.
How can this dataset be used to improve image recognition technology?
Researchers can use this dataset to train and test machine learning models, enhancing detection and recognition accuracy under occlusion conditions, particularly for automatic recognition of outdoor jacket products.
What is the main objective of this dataset?
The main objective of this dataset is to enhance the effectiveness of image recognition technology in e-commerce, especially ensuring accurate product recognition when items are occluded.
What types of images are included in the dataset?
The dataset includes images of outdoor jackets with various levels of occlusion, helping to simulate product display effects in real shopping scenarios.
Are there any success stories using this dataset?
Research institutions and e-commerce platforms may have used this dataset to test related detection algorithms, improving the accuracy of product image recognition and search.

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Cite this Work

@dataset{Mobiusi2025,
  title={Outdoor Jacket Occlusion Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/2bdb2e8eb7d8546aa9deca0858b4f93a?dataset_scene_id=9},
  urldate={2025-08-28},
  keywords={Outdoor Jacket Dataset,Occlusion Image Dataset,Retail E-commerce Images,Image Classification Dataset,Object Detection Dataset},
  version={1.0}
}

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