Clothing Keypoints Dataset

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Project Overview:

Objective

Our mission was to meticulously curate and annotate a comprehensive gallery of clothing images. This dataset highlights critical keypoints on apparel, such as collar tips, cuff ends, waistlines, and hemlines, which are pivotal for enhancing digital fashion applications.

Scope

Assemble a vast gallery of clothing images, annotated to highlight critical points such as collar tips, cuff ends, waistline, hemline, etc.

Sources

Fashion Design Institutions: Partner with leading fashion schools to procure sketches, designs, and photographs of clothing.
E-commerce Platforms: Engage with online retailers to obtain high-resolution images of their merchandise.
Public Contribution: Host a campaign inviting the public to share pictures of their clothes, ensuring diversity in style, type, and wear.

Data Collection Metrics

Total Images Assembled: 300,000 images
Fashion School Contributions: 90,000
E-commerce Collections: 170,000
Public Submissions: 40,000

Annotation Process

Stages

Keypoint Annotation: We precisely marked essential points on each clothing item.
Clothing Type Tagging: Every item was categorized based on its type, such as shirts, dresses, trousers, etc.
Fabric and Style Description: We provided concise descriptions of the material and primary style or pattern.
Fit Type Classification: Classification based on fit type was also included, like slim fit, regular, or oversized.

Annotation Metrics

Images with Keypoint Annotations: 300,000
Clothing Type Tags: 300,000
Fabric and Style Descriptions: 285,000
Fit Type Labels: 270,000

Quality Assurance

Stages

Annotation Validation: Fashion industry experts were involved to ensure the accuracy of our keypoint annotations.
Privacy Measures: Advanced algorithms were employed to blur faces and sensitive backgrounds in publicly contributed images, with an option for contributors to request data modifications.

QA Metrics

Annotation Verification Cases: 30,000 (10% of total)
Privacy Screenings: 40,000 (for all public submissions)

Conclusion

The Clothing Keypoints Dataset Initiative aims to revolutionize the intersection of technology and fashion by providing intricate details about clothing structures. With precise annotations and a diverse set of images, it lays the groundwork for the next generation of immersive and personalized fashion experiences.

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