Computer Vision
The ability to recognize and analyze images and videos
Agro-industry
The use of machine learning in the agricultural sector
Object Detection
The determination of an object's position by marking it with a bounding box
Data labeling
The process of marking objects in photos to train a system to recognize and interpret them
3000
photos
4
weeks
Our Partners
CASE DESCRIPTION
Detection of cows using Bounding Box in CVAT
The data is used for training video surveillance systems on farms
APPLICATION AREAS OF THE DATASET
Agriculture and animal husbandry:
Computer vision for tracking and managing the herd more efficiently
Advancement in veterinary medicine:
Computer vision for recognizing and diagnosing diseases in cows
Technologies for farm safety and surveillance:
Bounding Box detection for ensuring the safety of farmers and animals
Milk production assessment:
Computer vision for analyzing and evaluating the efficiency of cow milk production, maintaining records, and monitoring each cow's productivity
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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
Anton Tseluiko
Operations manager
Arthur Kazukevich
Python-developer
Daria Yurkevich
Quality Control Manager