anchors/target

Anchors and targets are terms commonly used in object detection tasks in computer vision.

An anchor is a pre-defined bounding box shape that is placed at various positions and scales over an image. These anchors serve as reference points for the object detection algorithm to identify potential objects within the image.

A target, on the other hand, refers to the ground truth bounding box coordinates for an object within an image. During training, the algorithm compares the predicted bounding box coordinates to the ground truth coordinates and adjusts the parameters of the model to minimize the difference between them.

In essence, anchors and targets are used in object detection to help the algorithm identify and localize objects within an image.