Custom Vision is a machine learning service by Azure AI that empowers users to build, train, and deploy custom models that can recognize specific images. It supports a range of image classification tasks, including object detection and image tagging. Users can upload their own labeled images, train their models, and evaluate performance, all from a simple web interface. This service is designed to be scalable and cost-effective, ensuring that users only pay for what they use, whether that be training hours or image storage.

Co-Sight is an open-source AI framework that simplifies development and deployment of real-time video analytics solutions. It provides modules for video data ingestion, preprocessing, model training, and distributed inference on edge and cloud. With built-in support for object detection, classification, tracking, and pipeline orchestration, Co-Sight ensures low-latency processing and high throughput. Its modular design integrates with popular deep learning libraries and scales seamlessly using Kubernetes. Developers can define pipelines via YAML, deploy with Docker, and monitor performance through a web dashboard. Co-Sight empowers users to build advanced vision applications for smart city surveillance, intelligent transportation, and industrial quality inspection, reducing development time and operational complexity.

The OpenCV AI Kit (OAK) is an innovative platform designed for spatial AI applications. It incorporates advanced features such as real-time object detection, depth sensing, and visual tracking, allowing AI models to better understand and interact with their environments. This hardware-accelerated solution includes a powerful camera system that supports machine learning capabilities, enabling a wide range of applications from robotics to smart surveillance and beyond.

AI Count harnesses the power of artificial intelligence to deliver fast and precise object counting. Designed to count hundreds of objects in just one second, it supports various statistic object types, making it ideal for a wide range of applications. Whether you need to count items for inventory, quality control, or any other purpose, AI Count ensures accuracy and efficiency, helping you save time and reduce human error significantly.