Data Annotation

We provide highly accurate, tech - enabled annotation services for complex use cases in computer vision and natural language processing.

Not only do we integrate the latest technology to increase labelling efficiency, but our teams are exclusively full time. This means no contractors, good wages, and pensions paid to all staff - a fairer way to create AI and the only way to achieve world-class annotation consistency.

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DATA ANNOTATION

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Why Aya Data

We differentiate ourselves from global competitors by:

  1. Maintaining a permanent specialist annotation team – every employee of Aya
    is full time (e.g., pensions paid, no zero hours contracts). This is the only ethical
    way to annotate and is also the key to our quality of service
  2. Closely integrating with the top annotation platforms globally and the latest
    automation technology, maximising speed and efficiency across all use cases
  3. Depth of expertise. Every member of our NLP team is C1/C2 proficient
    in English, French, or Spanish. Our Computer Vision teams are comprised
    of doctors, agronomists, LiDAR specialists, and many other sector experts
ayadata computer vision selected cars on the road

Computer Vision Annotation

Computer vision (CV) is a pioneering technology that equips machines with
an understanding of visual data, from smartphone apps to driverless
vehicles to IoT devices.

The techniques we use at Aya Data:

  • Bounding Boxes
  • Polygon Annotation
  • Image Segmentation
  • Key Point Annotation
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Natural Language Annotation

Supervised learning still forms the backbone of many Natural Language
Processing (NLP) models, particularly for niche and domain-specific
applications. Language annotation is vital to ensure models are up-to-date,
bias-free, and functional across multiple languages, dialects, and cultural
contexts.

Our NLP teams offer C1 / C2 proficiency in English, French and Spanish and fluency in over 10 African dialects. We provide:

  • Named Entity Recognition
  • Sentiment Analysis
  • Audio Transcription
  • Reinforcement Learning from Human Feedback (RLHF)
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3D Annotation

3D training data is essential to building sophisticated geospatial
models that need to make sense of complex urban and natural
environments. LiDAR annotation converts complex 3D data into training
datasets.

We are experts in:

  • 3D Bounding Boxes
  • 3D Polygon
  • 3D Semantic Segmentation
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Our Commitments to Our Clients

Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.

Our Commitments to Our Clients

Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.

Our Commitments to Our Clients

Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.

Our Commitments to Our Clients

Our four pillars of commitment to our clients are based on years of experience of what gets
models into production the fastest and with the best results.

Security

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Communication

Quality

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Efficiency

We follow the highest standards of data security and are GDPR and SOC 2 compliant. For sensitive projects, we
provide dedicated high-security Clean Rooms.

The only way to exceed expectations is to understand them in real-time. Effective communication is vital to effectively
complete projects which is why you will always have an open line of communication with us.

Quality is defined by you and delivered by us. Once KPIs are set, we iterate our workflow to deliver the results that
you need to get the most out of your model.

Delays cost money so efficiency is our highest priority. We operate with 20% slack at all times to ensure you
have the data to meet your deadlines.

Data Annotation Case Studies

Building a Model to Rapidly Identify Disease in Ghana’s Maize Plants

AgTech

Maize is one of the most important crops for Ghana’s agricultural industry; there have been significant, largely successful, investments into finding solutions to increase yields over the years. However, maize diseases still pose a significant challenge for maize farmers and communities.

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nypd car in the streets

Real-Time Transcription of American Police Radios

Utilities

Crime is a global problem which, due to the diversity of its causes, needs a local solution. In the US crime is never far from the political agenda and has played a prominent role in the majority of presidential election campaigns in the modern era. This is perhaps unsurprising in a region where over 500k violent crimes are reported annually (2021).

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lady monitoring cameras

Identifying Shoplifting Events in Real Time

Retail

There are over 200 million instances of shoplifting per year in the United States alone, which is more than 500,000 a day. This ‘victimless crime’ is neither harmless nor without impact as consumers face higher prices and police and courts struggle to keep up with the burgeoning problem.

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two people riding electric scooters

Preparing Autonomous Vehicles for the Growing Popularity of E-Scooters

Transportation

The global electric scooter market size is expected to reach USD 34.7 billion by 2028, expanding at a CAGR of 7.6%. Needless to say, this is changing the landscape of transportation, especially in urban areas. The growth will impact public transportation, city infrastructure, and critically, how self-driving cars should be trained to ensure the safety of the people around them.

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satellite view

Environmental Change Detection Using High-Resolution Satellite Imagery

Geospatial

1,200 miles above our heads are hundreds of satellites in low earth orbit traveling at 17,000 miles an hour that are taking high-resolution images of the earth. The aim of this is to understand our world in ever-increasing detail.

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Precision Annotation on Road and Infrastructure Damage

Utilities

The Client is a leading utility company that works to increase the longevity and improve the safety of infrastructure by utilizing cutting-edge tech solutions. The Client engaged its in-house data science team to develop a computer vision model that should detect and classify road cracks, which would enable efficiency and timely maintenance.

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Sourcing and Annotating Vehicle Damage Images for Automated Insurance Claim Validation

Insuretech

The Client is a pan-African insurance company that wishes to utilize cutting-edge tech solutions to verify insurance claims. They assigned their in-house data science to develop a computer vision model that would detect and identify damage on vehicles.

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Sourcing and Annotating Large Volumes of Agricultural Imagery for Precision Spraying

AgTech

Client X is a leading AgTech company focused on improving agricultural productivity and sustainability through cutting-edge technology solutions. Their aim was to have their in-house data science team develop a computer vision model that would detect and identify weeds.

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