Image Classification
Classification determines whether items in an image or video are present. It refers to teaching machine learning models to identify which categories (objects) are represented.
Image Segmentation
Image segmentation emphasizes foreground components, making them simpler to analyze for further processing. 3d image segmentation gives pixel-by-pixel characteristics of an item to identify what information on the visuals is important and what is not.
Boundary Recognition
Boundary recognition detects the borders of objects inside pictures. It operates by scanning changes in brightness. It is used in image analysis, machine learning, and computer vision for picture segmentation and data extraction.
Object Detection
3d object detection determines whether items are present in an image or video and where they are located. Use scenarios include face recognition with any post-detection analysis, such as expression detection, age estimate, or sleep detection.