Transform raw images into high-quality labeled datasets with our expert annotation teams and advanced tools. We deliver pixel-perfect annotations for autonomous driving, medical imaging, retail, agriculture, security, and more.
Image annotation is the process of labeling objects, regions, or features within images to create structured training data for computer vision models. From simple bounding boxes to complex 3D cuboids and semantic segmentation masks — accurate annotation is the foundation of every successful AI vision project.
Accurate 2D & 3D boxes to detect and track objects like vehicles, pedestrians, and products.
Pixel-level labeling for scene understanding, enabling precise object classification and context analysis.
Exact outlines for irregular objects, lane markings, and complex shapes for high-precision tasks.
Detailed annotation of facial landmarks, body joints, and keypoints for pose estimation and AR applications.
Create unique masks for each object instance to enable object-level analysis and AI training.
Advanced 3D annotations for autonomous vehicles, robotics, and augmented reality applications.
Our image annotation solutions empower diverse industries by enhancing AI training, improving automation, and accelerating decision-making with high-precision data.
Lane, traffic sign, pedestrian, and vehicle annotation for self-driving AI systems.
Tumor detection, organ segmentation, and X-ray analysis for accurate diagnostics.
Product recognition, visual search, and shelf analysis for smarter retail AI.
Crop monitoring, disease detection, and yield estimation with AI-driven analysis.
Intruder detection, crowd monitoring, and anomaly detection with AI vision.
ID cards, invoices, forms, and handwriting recognition for automated workflows.