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
Agriculture Image Annotation
Collection and segmentation of plants from drone aerial imagery of plantations for monitoring the condition of crops
Data Labeling
The process of identifying objects to train systems to recognize and interpret them
Segmentation
Dividing an image into semantically independent segments to determine object boundaries
Classification
Process of recognition and grouping of objects into preset categories
Agriculture
The use of machine learning technologies to automate and optimise the processes in agricultural enterprises
5 000
photos
2
weeks
Our Partners
WE OFFER DATA LABELING SERVICES FOR YOUR DATA
DATA COLLECTION FOR THIS PROJECT IS NOT PROVIDED
CASE DESCRIPTION
Translator
Data Labelling:
1. Semantic segmentation for determining the class of cultures
2. Instance segmentation by polygons to determine the different state of crops in the image
3. The keypoints labelling is represented by coordinates in .xml file
Translator
Tools:
Depending on the complexity of annotation and the required quality, we place the data in CVAT or PhotoShop, apply AI pre-labelling and conduct quality control before transmitting the data
APPLICATION AREAS OF THE DATASET
Agriculture:
Computer Vision and Object Detection for monitoring plant health, estimating yields, and detecting diseases or pests
Environmental Monitoring:
Object Vision and Computer Vision for tracking changes in biomass, mapping vegetation cover, and monitoring the impact of land-use changes on plant communities
Urban Planning:
Classification and Computer Vision to assess the distribution and density of vegetation, identify areas for further plantation development, and plan infrastructure accordingly.
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
Wadim Starosotnikow
Senior quality control manager
Maria Kuzmina
Project manager
Arthur Kazukevich
Python-developer
