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 dataset 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 dataset is unique for its detailed segmentation and labeling, covering aspects such as type, material, design, and brand.
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.
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
- Type Classification: Each clothing item is meticulously labeled by its type.
- Material Annotation: We identify and tag the primary materials.
- Design Pattern Annotation: Our team describes the design and pattern details.
- 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
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 Classification Dataset 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.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.