WHAT IS VIDEO ANNOTATION?
Video annotation services refers to the act of labeling or tagging videos clips that are used to train computer vision models to identify and detect objects. Video annotation is different from image annotation. It involves annotating objects frame-by-frame to make them easily identifiable for video annotation machine learning models.
Outsource Video Annotation Services of high quality generates ground truth data for machine learning functionality. Deep learning is available for video annotation in many industries, including self-driving cars and medical AI.
WHAT ARE THE TYPES OF VIDEO ANNOTATION SERVICES?
LABELIFY’S VIDEO 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
The Labelify team segments images into components and then annotations are made.
POLYLINE ANNOTATION
Experts at Labelify create training datasets with polyline annotation to teach models how to recognize physical boundaries.
LIDAR ANNOTATION
The Labelify teams label 360-degree videos and images captured by multi-sensor cameras in order to create accurate, high-quality labels.
3D CUBOID ANNOTATION
Labelify annotators can use cuboids to generate training datasets that teach ML models how to recognize depth of objects.
RAPID ANNOTATION
Video interpolation is used by Labelify to quickly annotate video footage.
KEYPOINT ANNOTATION
Teams that labelify objects draw shapes and variations using individual points.
VIDEO ANNOTATION PROCESS
Labelify 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.
WHAT INDUSTRIES NEED VIDEO ANNOTATION SERVICES?
AUTONOMOUS TECHNOLOGY AND TRANSPORTATION
Data Annotation Services using video can be used to assist in autonomous technology by labeling images of the car’s environment.
MEDICAL AI
Annotating medical video data for diagnosis and treatment is a way to identify abnormalities in medical imaging.
COMMERCE
Experts can use video annotation to help improve the customer experience by categorizing e-commerce content using various attributes.
GEOSPATIAL TECHNOLOGY
Experts in video annotation are available to the public sector for sensitive data processing at the satellite, air, and drone levels. They can also provide user experience and efficiency.
FINANCE AND INSURANCE TECH
Video Annotation makes fabricating more compelling by expanding the usefulness of modern robots. Robots can assist with distinguishing flawed things underway.
GOVERNMENT
Experts in video annotation are available to the public sector for sensitive data processing at the state and federal levels. They can also provide user experience and efficiency.
Why Choose Labelify?
