Annotation services get stuck with data issues
Our Approach, Process & Workforce makes the difference
Our Approach to Annotation Services
Cost Efficient Annotation
Our Process to Annotation Services
We start by analyzing your representative sample data and delivering a proof of concept based on your goals and requirements. Together, we set and optimize the annotation requirements, which will determine the number and types of annotations for each image, frame, or other data type. We will also structure the classification ontology to identify the appropriate object relationships.
After we determine the best segmentation types and ontology, we build out a few different annotation workflows for our annotators. We consult with our annotators and use A/B tests to determine the most intuitive way for our annotators to label objects to ensure annotation efficiency and accuracy.
Our Workforce to Annotation Services
Our workforce partner network, Alegion AI's Global Workforce, provides access to up to a million skilled annotation workers in the US and across the globe, supported by Alegion AI’s project managers, data engineers, and quality assurance teams. For each project, data engineers create and iterate upon your project’s annotation strategy and a dedicated project manager oversees the success of your project from start to finish.
All completed annotations go through our quality assurance teams, who ensure annotators have the training and ongoing resources they need to succeed. We use automated in-platform reviews and quality assurance mechanisms to strengthen the process of the quality assurance team. We provide self-service review technology where clients can review and accept annotations and provide feedback to the project team.