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USE CASE

Female Breast Segmentation

Dataset of women's breasts photographs for the development of a bra recommendation system
Computer Vision The ability to recognize and analyze images and videos
Segmentation The process of dividing an image into semantically independent segments in order to determine object boundaries
Data labeling The process of marking objects in photos to train a system to recognize and interpret them

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CASE DESCRIPTION

Parsing female breast photos from open sources

Segmentation: breast parts
We provide semantic segmentation, instance segmentation, and body parts classification for human body. Both in CVAT and PhotoShop

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APPLICATION AREAS OF THE DATASET

Medical Imaging:

The dataset can be used in the detection and analysis of breast abnormalities, such as tumors, cysts, and calcifications

Breast Cancer Research:

Data in the dataset to develop and improve algorithms for computer-aided diagnosis of breast cancer: identification of malignant regions and aid in early detection

Medical Device Development:

Data in the dataset to develop and evaluate new medical devices, such as imaging systems or software tools for diagnosing breast abnormalities

Surgical Planning:

Breast images and its segmentation for planning for complex procedures by providing detailed information about the internal structures and their relationships

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

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Vladislav Barsukov
Operations manager
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Arthur Kazukevich
Python-developer
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Kristina Bugaeva
Project manager
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