Data Collection

Optimizing Waste Collection: Data Gathering for City Administration

Image

How can AI improve waste collection efficiency? We helped the city administration build a high-quality dataset that boosted waste bin monitoring accuracy by 87%. This enabled automation, cost reduction, and faster response times for municipal services.

Industry Housing and Utilities
Data 8000 images
Image
Industry Housing and Utilities
Data 8000 images

Task:

The city administration required a high-quality dataset to train a neural network capable of tracking waste bin fill levels and ensuring timely collection. To enhance the model’s accuracy, the dataset needed to include images of waste bins of various types and capacities, captured under different lighting and weather conditions—ranging from clear skies to rain and snow. The ultimate goal was to optimize waste collection vehicle logistics and reduce operational costs.

Our Solution:

We implemented a comprehensive data collection strategy using two key approaches:

  • 01

    Crowdsourcing:

    To cover a wide range of scenarios, we engaged a broad network of contributors who captured 1000 images of waste bins across different city areas.

    This approach enabled us to quickly gather diverse images reflecting required variations in lighting and weather conditions.

  • 02

    Rapid Response Data Collection Team:

    To fill in missing scenarios, we assembled a mobile team. These specialists followed predefined routes, capturing waste bin images in challenging conditions such as nighttime, heavy rainfall, and densely populated residential areas.

Results:

  • 87% improvement in model accuracy for waste bin monitoring, significantly increasing system efficiency.

  • Optimized waste collection logistics: garbage trucks now respond to bin fill levels in real time, reducing costs and improving city sanitation.

  • The city administration gained an automated waste management tool, accelerating municipal services’ response to overfilled bins and reducing citizen complaints.

Similar Cases

  • Image
    Image Annotation

    Semantic Segmentation for Interior Design: A Complex Multiclass Annotation Project

    How do you segment every single object in a cluttered interior photo — 30+ classes per image? We designed a multi-step annotation pipeline to handle complexity without losing precision.

    Lean more
  • Image

    Grouping Listings into Product Cards

    Thousands of listings. Different sellers. Endless naming variations. Helping buyers navigate this chaos was the challenge facing one of the […]

    Lean more
  • Image
    Image Annotation

    Construction Equipment Annotation

    We successfully completed a project annotating construction equipment, labeling approximately 5,000 images using object detection methods. Our approach ensured high accuracy and fast turnaround, fully meeting the client’s requirements.

    Lean more
  • Image
    Data Collection

    Collecting Photos of Bald Men for a Medical Client

    We found a fast and efficient solution for gathering 200 sets of photos of bald men from different angles. Thanks […]

    Lean more
  • Image
    Audio Labeling services for ml Audio Transcription

    Banking Call Categorization

    To automate call categorization, one of Eastern Europe’s largest banks entrusted us with sensitive voice data covering credit, debit, deposits, and balances. We built a privacy-first annotation pipeline with in-house experts, multilayer validation, and weekly reporting to ensure both compliance and accuracy—enabling faster, smarter service automation.

    Lean more

Ready to get started?

Tell us what you need — we’ll reply within 24h with a free estimate

    What service are you looking for? *
    What service are you looking for?
    Data Labeling
    Data Collection
    Ready-made Datasets
    Human Moderation
    Medicine
    Other (please describe below)
    What's your budget range? *
    What's your budget range?
    < $1,000
    $1,000 – $5,000
    $5,000 – $10,000
    $10,000 – $50,000
    $50,000+
    Not sure yet
    Where did you hear about Unidata? *
    Where did you hear about Unidata?
    Head of Client Success
    Andrew
    Head of Client Success

    — I'll guide you through every step, from your first
    message to full project delivery

    Thank you for your
    message

    It has been successfully sent!

    This website uses cookies to enhance your experience, analyze traffic, and deliver personalized content and ads. By clicking "Accept", you consent to the use of cookies, as described in our Cookie Policy. Please choose your cookie preference.