Transform your visual data into AI-ready training datasets with our comprehensive image annotation services. From simple bounding boxes to complex semantic segmentation, we deliver precision at scale.
Delivering precision, accuracy, and scalability for your machine learning projects
We specialize in annotating diverse image types and sizes to make them understandable for AI systems. Our team delivers high-quality training data tailored for machine learning applications across industries like healthcare, automotive, e-commerce, agriculture, and more.
Our advanced annotation workflows include techniques like bounding boxes, segmentation, and keypoint detection. These help machines recognize and categorize objects with precision. With the power of deep learning, we ensure the data fed to your models is consistent, accurate, and production-ready.
Our annotation services are flexible and affordable—perfect for startups and enterprises alike. We offer scalable solutions using tools like bounding boxes, polygons, and 3D annotations, ensuring results that match both your technical requirements and your budget.
Comprehensive suite of annotation tools and techniques for every computer vision use case
Used to define and localize objects in 2D space. Ideal for object detection in static images or video frames across industries like retail, security, and autonomous driving.
Adds depth to object detection by capturing the full 3D structure of an object. Useful in automotive, robotics, and AR/VR applications where understanding object volume and spatial orientation is crucial.
Involves plotting key points to detect facial expressions, body parts, or object shapes. Often used in facial recognition, emotion detection, and biometrics.
Tracks human posture and movement by annotating joints and limbs. Critical for health-tech applications, motion analysis, and AI-based fitness or rehabilitation platforms.
Allows precise object outlining, even for irregular shapes. Ideal for image segmentation tasks like labeling street signs, animals, products, and complex items in cluttered environments.
Segments every pixel in an image by class, offering pixel-level precision. Perfect for autonomous vehicles, agricultural insights, and medical imaging datasets.
Used for lane detection in autonomous vehicles and road feature recognition. Polylines guide path planning and navigation by identifying roads, powerlines, or boundaries in images.
Our proven methodology ensures consistent quality and timely delivery for every image annotation project
We analyze your image datasets and annotation requirements to design the optimal annotation strategy.
Choose the most appropriate annotation techniques and tools based on your specific use case and accuracy requirements.
Our expert annotators apply the selected techniques with rigorous quality control and validation processes.
Multi-level quality checks and validation ensure your annotated data meets the highest standards for AI training.
Numbers that demonstrate our commitment to delivering high-quality annotated datasets
Let's discuss your image annotation needs and create a custom solution that accelerates your computer vision projects.
99.8% accuracy with rigorous quality control
From startup to enterprise scale