Our Services
Image Annotation
Image annotation tools are essential for labeling images, combining human expertise with computer-assisted methods. This crucial step in developing computer vision models supports tasks such as image segmentation, object classification, and image detection. Annotations can range from labeling every group of pixels in an image to applying a single label to the entire image.
​High-quality annotations are vital for successful machine learning projects involving computer vision. The specific use case of your project will determine the type of annotation required.
Image Annotation Services
BOUNDING BOXES
It is the most common type of image annotation used in computer vision by Labelify experts.
POLYGON
ANNOTATION
Annotating objects with polygons allows for all edges to be marked, regardless of their shape
SEMANTIC SEGMENTATION
Segments images into components and then annotations are made.
IMAGE CLASSIFICATION
Transform image data into image insights that can be used to build AI and ML models.
LIDAR ANNOTATION
Label 360-degree videos and images captured by multi-sensor cameras in order to create accurate, high-quality labels.
3D CUBOID ANNOTATION
Annotators can use cuboids to generate training datasets that teach ML models how to recognize depth of objects.
RAPID ANNOTATION
Image annotation platform uses image interpolation to quickly annotate files such as JPG, PNG and others.
KEYPOINT ANNOTATION
Marking specific points of interest (keypoints) on objects within images, often to capture the shape, posture, or structure of the object.
Process Flow
Our subject matter experts will guide you through the process to develop a customized end-to-end workflow.

1. Expert Consultation
Transformative, solution-based approach. Multidisciplinary problem solving. Improved resilience and agility.

2. Training
Targeted resources. Custom skilling. Deep and focused microlearning. Domain expertise. Rostering tools.

3. Workflow Customization
Alignment between processes and tools. Structured Development Milestones. Production and QA annotations can be done in two steps.

4. Feedback Cycle
Analytics can help you achieve transparency Real-time Monitoring and Service Delivery Insights. Edge Case Insights. Dynamic Model Improvement.

5. Evaluation
Evaluation of the deliverable. Evaluation of the most critical metrics and quality assurance procedures. Model reconsideration. Analyse of the business’s performance.
Why Us

Accelerate AI Projects
Quickly develop and improve your AI/ML models to bring your solutions to market faster and gain a competitive advantage.
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Make Data Actionable
Rapidly unlock the value of 2-D and 3-D image data from various sources using your preferred tools and methods.

Drive Innovation
Free your data scientists to focus on higher value work by leaving the complex data preparation and annotations to us.

Improve Data Quality
Move your complex LiDAR, orthomosaic, point cloud, and photogrammetry image data over the quality finish line.

Scale Your Operations
From proof of concept to production, tap our proven people, processes, and technology to ramp up to your full potential.

Harness Our Expertise
Our industry training and experience annotating all forms of aerial, UAV, and geospatial images mean you get expert, quality labeling.