Computer Vision

Train your CV models with best in class training data

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.

Using our tools contributors can annotate images and add ontologies accordingly, training computers how to differentiate between items and prices in an image.

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

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 bespoke high-quality image and video data so your models can be trained to recognize scenarios specific to your computer vision program needs.

VIDEO: Learn more about creating high-performance computer vision machine learning models with high quality training data.

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

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

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,

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,

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,

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. Obtain 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.

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

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