Clothes Classification Dataset

Project Overview:

Objective

In our ongoing commitment to advancing machine learning applications, we have successfully developed a robust dataset specifically for classifying various clothing items. This Clothes Segmentation plays a crucial role in enhancing e-commerce search engines, virtual dressing rooms, and fashion trend analytics.

Scope

Our team has meticulously designed a comprehensive repository of clothing images. This Clothes Segmentation is unique for its detailed segmentation and labeling, covering aspects such as type, material, design, and brand.

Clothes Classification Dataset
Clothes Classification Dataset
Clothes Classification Dataset
Clothes Segmentation Dataset

Sources

  • E-commerce Platforms: Collaborate with online clothing retailers to obtain high-quality images of their product range.
  • Fashion Magazines: Extract images from both digital and printed fashion publications to capture the latest trends.
  • Public Submissions: Create a portal where individuals can upload images of their clothing items, ensuring a wide array of styles and patterns.
case study-post
Clothes Classification Dataset
Clothes Segmentation Dataset

Data Collection Metrics

  • Total Images Collected: 250,000
  • E-commerce Contributions: 150,000
  • Fashion Magazine Extractions: 70,000
  • Public Submissions: 30,000

Annotation Process

Stages

  1. Type Classification: Each clothing item is meticulously labeled by its type.
  2. Material Annotation: We identify and tag the primary materials.
  3. Design Pattern Annotation: Our team describes the design and pattern details.
  4. Brand Information: Where available, we include brand details.

Annotation Metrics

  • Images with Type Labels: 250,000
  • Material Annotations: 230,000
  • Design Pattern Tags: 250,000
  • Brand Information Tags: 180,000
Clothes Classification Dataset
Clothes Classification Dataset
Clothes Segmentation Dataset
Clothes Segmentation Dataset

Quality Assurance

Stages

Classification Accuracy: We engage fashion industry experts for dataset review.
Privacy Protocols: We take utmost care in ensuring privacy in public submissions.

QA Metrics

  • Classification Review Cases: 25,000
  • Material Authentication Reviews: 23,000
  • Privacy Audits: 30,000

Conclusion

Our Clothes Segmentation Initiative is a testament to our capability in gathering and annotating diverse datasets. This project not only showcases our proficiency in handling large-scale image datasets but also underlines our contribution to the evolving landscape of fashion technology. We are proud to offer this dataset, a rich compilation of fashion elements, to propel forward the innovations in various tech applications.

Technology

Quality Data Creation

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Guaranteed TAT

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ISO 9001:2015, ISO/IEC 27001:2013 Certified

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HIPAA Compliance

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GDPR Compliance

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Compliance and Security

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

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