Highlighter gives you the freedom to focus on machine learning, rather than the supporting software. We take care of the infrastructure, allowing you to develop and deploy custom machine learning models in an efficient and cost-effective way.
Highlighter provides a seamless interface to label images and train models. These models can then be deployed via an API for inference in production. Progressive improvement of the labelling processes is supported through a reporting and feedback loop.
|Upload Data Upload images that contain objects you want to train a model to identify.|
|Tag objects of interest Use the labelling tool to highlight objects of interest in your images.|
|Watch Highlighter learn Over time, Highlighter will learn to identify objects for you. The more data you provide, the smarter it gets.|
Highlighter is for organisations that require a custom machine learning solution, or are interested in developing their own AI capabilities. It is particularly designed for computer vision machine learning projects.
If you already have an AI team, Highlighter enables you to focus on developing your AI capability. If you don’t have an AI team, we’ll guide you through the process of applying the technology to suit your unique requirements.
Machine learning requires a number of steps: preparing data, training a model to identify objects, evaluating the model, making changes, and deploying the algorithm. Highlighter provides the infrastructure for these steps to happen in a cohesive way, so you can easily implement machine learning in your organisation.
IMAGES (SKAND 2018): SKAND IS USING HIGHLIGHTER TO REDUCE THE COST AND RISK ATTACHED TO ASSET INSPECTION
Highlighter was built by and for machine learning engineers to make computer vision projects simpler. Computer vision is a type of AI that learns to identify objects of interest in images or videos. By automating repetitive visual tasks, Highlighter saves your organisation time and money. It also makes things possible that were previously time-consuming, impractical or difficult for humans to do.
Highlighter supports the full project lifecycle, from data collection to training and production. It supports machine learning labelling, image indexing, activity notification, API integration, reporting and more.
Highlighter is available on the web and via API, and provides users with speed, accuracy, collaboration, and advanced plugin capabilities to tailor to your own workflows.
IMAGES (SILVERPOND 2018): THE HIGHLIGHTER INTERFACE ALLOWS YOUR TEAM TO EASILY AND EFFICIENTLY ANNOTATE DATA
While in beta, Highlighter supported several organisations’ machine learning projects with incredible results.
Skand is a Melbourne-based company that reduces the risk and cost of roof inspections. Highlighter formed the basis of their innovative machine-learning approach. By using Highlighter, Skand has:
- Reduced the cost of roof inspections by 80%
- Decreased inspection time by 70%
- Increased coverage of inspections from 15% to 100% of a building’s surface area
Wildlife Protection Solutions is on a mission to protect endangered species by reducing poaching. Highlighter was integrated into their process, leading to the detection and capture of poachers at wildlife conservation sites across three continents.
IMAGES (WPS & SILVERPOND 2018): WPS HAS BEEN USING HIGHLIGHTER TO ASSIST CONSERVATION RANGERS CATCH AND DETAIN POACHERS
Highlighter was developed by Silverpond - a team of data scientists, machine learning specialists and software engineers who design solutions to hard problems. We love big data and turning blue-sky ideas into reality.
Over 13 years, we’ve implemented big data and software solutions for clients in industries ranging from utilities, retail and technology, to healthcare, education and research.
While working on our clients’ machine learning projects, we recognised a need for more intuitive and user-friendly tools. We want people to be spending their time thinking about the problem, not building the software.
To learn more about Silverpond, please visit our website.