1. Image Classification

Image classification enables machines to categorize images into predefined classes, automating the process of identifying the content of a picture. This technology is crucial for organizing large image databases and enhancing search functionalities in digital platforms.

2. 2D Image Segmentation

2D Image Segmentation divides digital images into multiple segments or pixels to simplify their analysis and processing. It's particularly useful in medical imaging, remote sensing, and traffic control systems, where detailed image analysis is required.

3. Object Detection

Object detection identifies and locates objects within images, distinguishing between different items in a scene. This capability is foundational for applications such as surveillance, vehicle navigation, and automated quality control in manufacturing.

4. 3D Image Segmentation

3D Image Segmentation extends the capabilities of 2D segmentation into three-dimensional data, enabling precise analysis of volumes and surfaces in complex images. It plays a critical role in advanced medical imaging, 3D modeling, and augmented reality applications.

5. Large Vision Models

Large Vision Models are advanced AI models trained on vast datasets, capable of understanding and interpreting visual data at a near-human level. They are transforming industries by powering sophisticated applications in security, entertainment, and autonomous vehicles with their unprecedented accuracy and versatility.