Computer Vision


Train your CV models with best in class training data




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Building Data-Centric Computer Vision


Computer Vision (CV) is one of the most widely expanding AI fields. These applications help interpret the world at a much larger scale and speed, unlocking new use cases.



Computer Vision applications are already all around us.

  • Self-driving car companies are using computer vision so that cars can automatically recognize people crossing the road, sidewalks, road signs and other prominent features.
  • Financial services companies are using CV to digitize business processes using things like Optical Character Recognition to easily transcribe receipts and bills to digital formats and extract pertinent information.
  • E-commerce organizations rely on CV for search relevance to suggest related products.

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Trusted by global leaders to power their mission-critical AI with data for over 25 years

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We provide data annotation and collection services to improve your computer vision models at scale. As a global leader in our field, machine learning and AI teams benefit from our capability to quickly deliver large volumes of high-quality image and video data specific to your computer vision program needs.


Learn more about how we can help you with your next Computer Vision project

Download Data Sheet


Secure Data Access


Data security requirements are met for customers working with personally identifiable information (PII), protected health information (PHI), and other sophisticated compliance needs.

Enterprise-level security to protect sensitive client data


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Secure Crowd


We offer a suite of secure service offerings with flexible options to ensure data security via secure facilities, secure remote workers, and onsite services to meet specific business­ needs.

We have enterprise level security options to suit your sensitive data needs,


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Secure Facilities


Appen has sites in multiple geographies to support projects with Personally Identifiable Information (PII) and other sensitive data, as well as the right people, policies, and processes in place for a range of security levels, up to government level certification.

We have enterprise level security options to suit your sensitive data needs,


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Secure Workspace


With our ISO 27001 accredited remote Secure Workspace solution, our global crowd can work on your sensitive projects remotely, without having to access a physical secure facility. This allows the diversity of our remote crowd to reduce bias and support multiple languages even through global disruptions.

We have enterprise level security options to suit your sensitive data needs,


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Annotation Capabilities: Image & Video


Many of our annotation capabilities have Smart Labeling features which use Machine Learning assistance in the data annotation process to automate and improve productivity, quality, and delivery of your data collection and data annotation projects.




Video Annotation


Choose from video classification, transcription, object tracking (with additional Speed Labeling capabilities to automate across frames), object detection and time stamping.


Pre-Labeling


Speed up the annotation process by selecting the best fit model from the model library. Send the output to contributors to then review and edit as needed.


Image Transcription


Draw a bounding box around text in an image and auto-transcribe it in the same step. Provides localized text for more robust OCR training data.


Image Annotation


Create image annotation jobs using polygons, dots, lines, rotating bounding boxes and/or ellipses and collect additional object information in shapes using ontologies for faster, more flexible and more accurate image annotation.


Pixel Level Semantic Segmentation


Label images pixel-by-pixel for your computer vision models. Use PLSS for very precise labeling down to the pixel level and enhance accuracy and performance.


Point Cloud Annotation


Manage annotations for several types of point cloud data including LiDAR, Radar, and other types of scanners/sensors in the same project, using our intuitive annotation interface.






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Case Studies

Adobe uses image training data to develop a model which identifies the best stock images to use in marketing materials, making their library of 200 million assets easily discoverable.

Read case study
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Case Studies

Adobe uses image training data to develop a model which identifies the best stock images to use in marketing materials, making their library of 200 million assets easily discoverable.

Read case study