Computer vision model

Computer vision is a subfield of artificial intelligence and machine learning that deals with enabling computers to understand and interpret visual information from the world around them. A computer vision model is designed to process and analyze images or video data, and to extract meaningful information from them.

Various tasks can be performed using computer vision models, including:

• Image classification: identifying the content of an image and categorizing it into specific classes or categories.
• Object detection: identifying the location and size of specific objects within an image.
• Object tracking: tracking the movement of specific objects within a video sequence.
• Image segmentation: dividing an image into multiple segments or regions, each of which corresponds to a specific object or background.
• Image generation: creating new images based on a given set of criteria, such as generating realistic images of faces or landscapes.
• Pose estimation: determining the position and orientation of objects within an image or video.

Computer vision models can be used in a variety of applications, such as autonomous vehicles, surveillance systems, medical imaging, facial recognition, augmented reality, and industrial automation. For example, computer vision models can be used to detect and track vehicles or pedestrians in autonomous driving systems, or to identify tumors or abnormalities in medical imaging data.

Computer vision models can also be monitored on VIANOPS. For example, you can extract image features like dimension, gray scale, brightness, or embedding features from a neural network as input features and send those features to VIANOPS together with model output to monitor feature drift and prediction drift. If the task of the computer vision model is classification, then you can also monitor model performance over time.

Go to the Monitor your model How-To guide to learn more details about how to set up monitoring jobs with policies and view monitoring dashboards.

Also, see the free trial tutorial and this blog example of monitoring and analyzing a computer vision model.