Data Collection

Urban Image Annotation for Waste Detection

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

    Product Grouping for E-commerce

    We helped structure the chaos of online listings — enabling cleaner product cards through expert annotation and smart grouping.

    Lean more
  • Image
    Image Annotation

    Image Annotation for Ore Detection

    We helped a mining company quickly train a model to detect ore granularity and oversized fragments directly on the conveyor belt—cutting processing delays and freeing up internal resources.

    Lean more
  • Image

    Aerial Image Annotation for Urban Planning

    We annotated 132,000+ objects in 11,000 aerial images—streamlining urban planning data with scalable workflows and tailored class logic.

    Lean more
  • Image
    Image Annotation

    Pose Estimation for Proctoring

    How do you teach AI to recognize when a student is cheating during an exam? By accurately annotating 6000 images of real exam scenarios — and that’s exactly what we did.

    Lean more
  • Image
    Data Collection

    Image Data Collection for Biometric System

    We built a reliable dataset for biometric system testing — fast, compliant, and ready for integration.

    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!

    We use cookies to enhance your experience, personalize content, ads, and analyze traffic. By clicking 'Accept All', you agree to our Cookie Policy.