Teaching a Computer to See is a Complex and Painstaking Task
Computer vision algorithms need extraordinary volumes of labeled data to make sense of the visual world. The speed and accuracy with which your system learns to navigate the world are directly correlated to the quality of your training data. By improving data labeling accuracy through small batch testing and continuous iteration, Alegion enables customers to develop high performing CV models and greater opportunities for feature and product differentiation.
Computer Vision Capabilities
Our platform supports project-specific tool and task configurations to optimize labeling accuracy and throughput for image and video data points.
Keypoint, Polygon, Bounding Box Annotation
Our teams can utilize multiple tools within a single task to expedite annotations, pixel-level segmentation, and classification of objects into complex taxonomies.
Object Detection and Classification
Every instance of an object can be captured and accurately classified into your predefined taxonomy—even in low-res, complex images and videos.
ML-Augmented Video Object Tracking
By applying and evaluating multiple algorithmic models, we enhance our annotators’ ability to scale object tracking in high-density video compositions.
Parts ID and Landmark Detection
We can create keypoints for landmark or parts identification, and tag them with your custom classes.
Instance & Semantic Segmentation
Pixel-level segmentation accelerates detailed annotations for biomedical, retail automation, and autonomous vehicle applications.
Actions and Interaction Identification
We can detect semantic relationships among picture elements in order to develop context and identify actions in images and videos.
Agriculture is making strategic investments in ML-driven systems that monitor and manage everything related to planting, growing and harvesting. We’ve played a role in everything from identifying rocks in aerial images of fields to determining when berries are ready for picking.
Energy is an infrastructure-intensive sector where the ability to match supply and demand is critical. Organizations wanting to leverage ML’s predictive capabilities have relied on Alegion for systems as diverse as smokestack discharge analysis and preventive maintenance.
Leverage Our Data Labeling Expertise
Train your CV model with large-scale, custom-labeled datasets without the burden of building or acquiring labeling tools, finding and curating a qualified workforce, or managing a large-scale data annotation project. Shorten your time to ROI and mitigate the risks of sub-par model performance with high quality data, annotated and validated by a combination of task-trained human annotators and ML-enhanced tools.
Leverage Human Judgment at Scale
Shorten your time to ROI and mitigate the risks of sub-par model performance with high quality data, annotated and validated by a combination of task-trained human annotators and ML-enhanced tools.
Accelerate projects with Human and AI
Make decisions more quickly and with more confidence by relying on our platform to integrate the best of human and machine intelligence. Higher accuracy and fewer cycles mean a faster time to value for ML initiatives.
What our customers have to say
We first tried to do this by ourselves—a bad idea. We’re clearly not an annotation shop.
Alegion Names Jeff Henry as Chief Revenue Officer
Alegion adds Chief Revenue Officer Jeff Henry to drive ongoing growth in le...Read More
In Defense of Humans - the Fact vs. Fiction of Lab...
The capabilities of ML and AI platforms are constantly evolving, and we spe...Read More
Better Quantifying The Performance Of Object Detec...
Video object detection has several unique challenges. One of the main probl...Read More