Case Studies

Annotation Support partnered with multiple universities and research institutes in USA, Denmark and UAE to support their artificial intelligence research initiatives. The main objective was to provide precise, scalable, and structured data labeling services, aiming to create high-quality training data for AI and machine learning models using raw academic data.

In partnership with AI companies in Sweden, Singapore and The United States, Annotation Support offered high accuracy polygon annotation services for advanced computer vision applications. The project included annotation of an annotated complex set of images in the context of Object Detection, Instance Segmentation, Autonomous systems, Smart Surveillance and Industry and AI solutions.

Annotation Support collaborated with leading autonomous technology and AI companies across the United States, Germany, and Japan to deliver high-precision 3D LiDAR point cloud annotation services. The goal was to support next-generation autonomous systems by converting raw sensor data into highly structured, labeled datasets suitable for machine learning, deep learning, and perception model training.

The industry of waste sorting with the assistance of AI is being increasingly popular among the recycling companies in terms of operational efficiency and sustainability. These systems depend a lot on superior quality annotated datasets including waste materials of various types by the system.

A leading urban mobility research institution was working on advanced AI models to analyze and improve people movement across dense city environments. Their goal was to enhance transportation planning, reduce congestion, and enable smarter infrastructure decisions using computer vision and data analytics.

A medium-sized fish and shrimp aquaculture farm wanted to modernize its processes with AI-based monitoring devices. The aim was to enhance production, early disease detection, and to maximize feeding habits. However, the success of these AI models depended heavily on high-quality annotated data.