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USE CASE

Fashion Images Segmentation Dataset

Dividing the image into different regions of clothing can create or improve recommendation systems in e-commerce
E - commerce The use of machine learning in online commerce
Segmentation Dividing an image into semantically independent segments to determine object boundaries
Data collection Gathering data for subsequent annotation
Data Labeling Highlighting objects in photos to train systems to recognize and interpret them
1
week
10,000
photos

CASE DESCRIPTION

Collection of clothing photos through parsing and crowdsourcing

Сustomizable to specific tasks

Annotation by relevant classification classes

With each class precisely outlined by a polygon of a specific color

APPLICATION AREAS OF THE DATASET

Retail:

Detection and computer vision for automatically identifying clothing of various classes, colors, sizes, and other characteristics

Fashion and Style:

Computer vision and classification for creating style recommendations, combining different clothing items, and assisting with the selection of outfits in appropriate sizes, styles, and colors

Advertising and Marketing:

Classification for creating unique and personalized advertising campaigns based on the analysis of clothing styles, preferences, and demographic data of users

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions

Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Team leads project

Alexey Antushenya
Operations manager
Sergey Razumny
TeamLead Crowd Solutions
Maria Kuzmina
Project manager
woman

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