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Data Сollection for Сity Administration

Data collection improved the model’s performance in various street conditions by 85%.

Industry and use case:

Housing and utilities

Data:

500 images

Project duration:

3 months

Task:

The city administration needed a dataset that included waste bins of various capacities and types, reflecting diverse conditions of time of day and weather. The goal was to train a neural network to monitor timely waste removal and optimize logistics for waste collection vehicles

Our solution:

The key to the dataset was having photos taken at different times of the day and under various weather conditions. To achieve this, we decided to collect 5000 images through crowdsourcing. Additionally, to meet the remaining requirements, we assembled a quick-response group. This group traversed designated routes through residential areas, capturing the necessary content for the client, even in rainy or nighttime conditions

Results:

  • The client successfully improved the performance of their model by 85% in various street conditions
  • This initiative also expedited the response of government services to filled waste bins

Stages of work

  • Application

    /01
    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price
  • Free pilot

    /02
    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics
  • Agreement

    /03
    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    /04
    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    /05
    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    /06
    You pay for the work after receiving the data in agreed quality and quantity

Timeline

  • 24 hours
    Application
  • 24 hours
    Consultation
  • 1 to 3 days
    Pilot
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

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
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Tell us about your project!

    Choose interested services:

    Select an option

    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)