Audio Transcription
Datasets and Services for Training LLM
Image Annotation
Video Annotation
Text Annotation
Lidar Annotation
Crowdsourcing
MedTech Companies
Banking and Finance Industry
Biometric Data
E-commerce and Retail
Surveys and UX-Researches
Agriculture
Retail
Robotics
Augmented Reality
Finance
E-Commerce
Face Recognition System
Ore Annotation
Content Moderation on the Video
IBeta 1
IBeta 2
Data Collection for Face and Speech Recognition
Content Moderation
Video Systems and Video Analysis
Content Moderation in Recruitment Domain
Audio Labeling for Call Center
Data collection and video annotation: weapon detection on the streets
Image Annotation for Emotion Recognition
Data Сollection for Сity Administration
Liveness Detection
Annotation Photos for the Recognition System
Blog
Stages of Work
Become a Partner
Startup Program
Student Program
FAQ
USE CASE
Food Image Segmentation
Collecting photos of pizzas and labeling them by their constituent ingredients. The dataset is suitable for automating quality control of dishes in a restaurant network using machine learning
Segmentation
Dividing an image into semantically independent segments to determine object boundaries
Data Labeling
Highlighting objects in photos to train systems to recognize and interpret them
Computer Vision
Ability of a machine to interpret, analyze, and understand visual data
Data collection
Gathering data for subsequent annotation
Restaurant business
The use of machine learning in the process of cooking and quality control of dishes, serving customers
2 500
photos
4
weeks
Our Partners
CASE DESCRIPTION
Collection of food photos through parsing and crowdsourcing
The collection parameters can be customized to suit your task
Annotation by classes of interest
Each class is precisely outlined with a polygon of a specific color
APPLICATION AREAS OF THE DATASET
Restaurants and Cafes:
Computer vision and classification for automatic identification of ingredients in a dish and quality control of the meals
Culinary Bloggers and Recipe Sites:
Detection and computer vision for automatic generation of information about products and their quantities in culinary recipes based on visual data
Procurement and Inventory Departments:
Computer vision for optimizing procurement and inventory processes in restaurants and cafes
Food Delivery Services:
Detection and classification to improve the description of dishes, and to provide more accurate information about the calorie content and nutritional value of each dish
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
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
Alexey Antushenya
Operations manager
Sergey Razumny
TeamLead Crowd Solutions
Maria Kuzmina
Maria Kuzmina
