We specialize in 2D bounding box annotation, creating accurate rectangular boundaries around objects in images. Through accurate graphical representations, we train computer vision models for applications such as autonomous driving, object tracking, and inventory management.
Ensure accurate depth perception and object localization for realistic and functional AI models with our 3D bounding box annotation service. We handle complex 3D environments, offering support for industries like virtual reality, drone navigation, and logistics.
We offer advanced semantic segmentation services, categorizing every pixel in an image for a detailed understanding of object boundaries and scene contexts. Through full pixel and instance segmentation, we support applications in medical imaging, urban planning, and autonomous vehicles.
For objects with complex, irregular shapes, we create custom multi-sided polygons that precisely trace their outlines. Utilizing advanced tools and semi-automatic snapping, we label high-resolution images for AI models used in satellite imagery analysis, wildlife monitoring, and industrial inspection.
We annotate linear structures and curves in images by tracing lines, splines, and paths along them. Through our line and spline annotation service, we support AI models for lane detection, map generation, and infrastructure planning in autonomous driving systems.
Leverage our skeletal annotation service to map human body movements and postures. We use advanced tools to track and annotate key body points, providing detailed data for AI/ML models used in healthcare, sports analysis, motion capture, and interactive gaming.
We identify & label specific points of interest within an image enhancing facial recognition gesture detection & feature tracking through our landmark or key points annotation service. Using advanced annotation tools we ensure high accuracy in identifying key landmarks supporting advanced AI applications.
We have extensive experience providing polyline annotation for road networks, boundaries, and other linear structures. Leveraging advanced annotation tools, we ensure precise tracing, supporting geographic information systems, navigation models, and urban planning projects.
We classify large image datasets in pre-defined categories based on their content, visual characteristics (like cars, dogs, furniture, etc), and context. Our team follows established taxonomies to consistently annotate images for visual search, automated tagging, inventory management, and other commercial use cases.
Instance segmentation helps in detecting and delineating individual objects in images, such as cars, people, or furniture. It's particularly useful in medical imaging for identifying anatomical structures, in Advanced Driver Assistance Systems (ADAS) systems for enhancing vehicle safety by detecting obstacles, and in augmented reality applications for integrating virtual objects with real-world scenes.
Classifying entire images into predefined categories like indoor, outdoor, city, or beach improves image retrieval. In industries like tourism, scene categorization helps in automatically tagging and organizing travel photos. It can also enhance user experiences on travel platforms by providing personalized recommendations. For instance, if a user frequently views beach scenes, the platform might suggest beach destinations or related travel packages.
Detecting and tracking lane markings on roads is crucial for developing ADAS used in self-driving cars. By using labeled lane markings as training datasets, these systems can determine the vehicle's position relative to the lane boundaries, ensuring safe and efficient navigation.
Annotators map key points on the human body (such as from the shoulder to the elbow to the wrist) to track body movements and postures. This type of labeling is essential for developing sports analytics tools, interactive gaming applications, and virtual try-on solutions.
We organize and review the provided image data based on your needs and use cases.
We set up & customize image annotation tools based on project needs and create detailed labeling protocols to ensure consistency and accuracy.
Leveraging automated tools and advanced annotation techniques, our experts perform image data labeling in batches.
Our image annotators validate the quality and accuracy of annotated data through automated and manual checks.
We securely deliver the annotated image data in the required format, along with relevant metadata or documentation, and make necessary adjustments based on your feedback.
Minimize trial and error and accelerate model deployment with professional image labeling services.
Request a Free ConsultationThe cost for our image tagging services varies based on factors like complexity, volume, and turnaround time. We provide flexible engagement models to cater to diverse project requirements, ensuring optimal cost savings. For a free quote, you can share your project details with us at info@suntec.ai.
Regular communication and collaboration for image labeling services are facilitated through dedicated project managers and robust communication channels. We utilize platforms like Slack, email, or project management software to maintain seamless interaction with clients, ensuring regular updates and feedback exchange throughout the project lifecycle.
Our image annotators are trained to identify edge cases and escalate them to subject matter experts. We collaborate with clients to update guidelines and create consistent protocols for handling rare occurrences.
Yes! We have a scalable workforce and robust infrastructure to handle large-scale projects efficiently. Whether it's thousands or millions of images, we have the capacity and expertise to deliver high-quality annotations at scale, effectively meeting your project requirements, industry standards, and deadlines.
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