USE CASE
Human Matting Image Annotation
Semantic Human Matting for editing applications and estimation of foreground objects in images and videos
Computer Vision
The ability to recognize and analyze images and video
Data Labeling
Highlighting objects in photos to train systems to recognize and interpret them
Matting
Object extraction in images for the purpose of overlaying them on a new background
Editing applications
Using machine learning in graphic design
4
weeks
3,500
photos
Our Partners
CASE DESCRIPTION
Collection of images using internal resources and/or crowdsourcing methods. Annotation involves high-quality semantic segmentation into two classes: foreground and background
Transparency assessment includes creating an alpha mask to determine the degree of object transparency
Foreground color correction involves adjusting the color and tone of the extracted object to ensure a natural appearance when overlayed onto a different background. Quality choice involves detailed pixel-by-pixel image annotation in Photoshop for high quality or broken lines (polygon vertices) for medium quality
APPLICATION AREAS OF THE DATASET
Security and Authentication:
Computer vision for training facial recognition systems or automatic authentication in biometric systems
Photo Retouching and Editing:
Detection and computer vision for creating realistic and professional cropping and blending effects on photos
Entertainment and Gaming:
Computer vision for creating characters with animated or moving faces
Image Recognition:
Computer vision and classification for developing systems for searching and filtering photos in online galleries or social networks
DIDN'T FIND THE NECESSARY INFORMATION?
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Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
Vladislav Barsukov
Operations manager
Arthur Kazukevich
Python-developer
Kristina Bugaeva
Project manager