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USE CASE

Outdoor Garbage Dataset

Photographs of various communal waste containers of different sizes, conditions, and levels of filling are for the purpose of training a neural network in automating housing and utilities processes
Smart City The use of machine learning for creating Automated and Efficient Urban Development
Classification Process of recognition and grouping of objects into preset categories
Data Collection Gathering data for subsequent annotation
Communal Services The use of machine learning in automating the work of communal services
4
weeks
5,000
photos

CASE DESCRIPTION

Collection of photographs of garbage bins

Each image features 1 to 5 trash containers, located in the yards of residential complexes

 

The photos are taken at different times of the year and day: autumn, winter, spring, morning, daytime, and night

APPLICATION AREAS OF THE DATASET

Urban Cleanliness Control:

Automated monitoring of garbage bin fill levels and municipal services activities

Optimization of Waste Collector Operations:

Classification to create a notification system for the fill levels of bins to enhance the efficiency of city services

Training Robots:

Educating urban cleaners to recognize litter, contaminated areas, and select cleaning methods based on the type of pollution

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

Wadim Starosotnikow
Senior quality control manager
Arthur Kazukevich
Python-developer
Maria Kuzmina
Project manager
woman

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