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USE CASE

Cows Detection Image Annotation

Detection of cows in photos from a farm
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

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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

DIDN'T FIND THE NECESSARY INFORMATION?

Leave a request for a free consultation and a test dataset!

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

Anton Tseluiko
Operations manager
Arthur Kazukevich
Python-developer
Daria Yurkevich
Quality Control Manager
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