Class YoloModelDescription

Represents a comprehensive description of a YOLO (You Only Look Once) model. This record provides a snapshot of the model's key attributes and settings, including its size, dimensions, confidence threshold, overlap threshold, output types, and a list of labels it can detect. It is used both for user information and internal processing during the inference process.

Inheritance

object

YoloModelDescription

Implements

IEquatable<YoloModelDescription>

Inherited Members

object.GetType()

object.Equals(object, object)

object.ReferenceEquals(object, object)

Namespace: EyeAuras.OpenCVAuras.ML.Yolo

Assembly: EyeAuras.OpenCVAuras.Shared.dll

Syntax

public sealed record YoloModelDescription : IEquatable<YoloModelDescription>

Constructors

Name	Description
YoloModelDescription()

Properties

Name	Description
Confidence	Gets or sets the confidence threshold for detecting objects. Only objects detected with a confidence level higher than this threshold are considered valid. This value helps in filtering out less likely detections. Default is set to 0.20.
Dimensions	Gets or sets the number of dimensions in the model's output. This typically refers to the dimensions of the feature map produced by the model.
Labels	Gets or sets the list of labels that the model is capable of detecting. Each label in this list represents a specific class or type of object that the model can identify.
Outputs	Gets or sets the array of outputs produced by the model. These outputs typically include various parameters and metrics relevant to the model's detection process.
Overlap	Gets or sets the overlap threshold for detecting objects. This value is used to handle overlapping bounding boxes and helps in reducing redundant detections. Default is set to 0.45.
Size	Gets or sets the size of the model's input window. This typically represents the dimensions (width and height) to which input images are resized before being fed into the model.