Contact Us
USE CASE

Cows Detection Dataset

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

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

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions

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
woman

Tell us about your project!