Anchor box – Definition & Meaning

The term “anchor box” is often used in the field of computer vision and object detection. It is an essential component of the popular object detection algorithm called Faster R-CNN. In this article, we will explore the definition, origin, meaning, associations, synonyms, antonyms, and example sentences of the term “anchor box.”


An anchor box is a pre-defined rectangular box that is used as a reference to detect objects in an image. It is a fixed-size bounding box that is placed at different positions and scales on an image. The anchor box acts as a template for detecting objects of different sizes and shapes.


The concept of anchor boxes was first introduced in the paper “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks” by Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun in 2015. The paper proposed a new object detection algorithm that utilized anchor boxes to improve the accuracy and speed of the detection process.

Meaning in different dictionaries

The term “anchor box” is a technical term that is not commonly found in general dictionaries. However, it can be found in specialized dictionaries and technical references related to computer vision and machine learning.


Anchor boxes are closely associated with object detection algorithms, particularly the Faster R-CNN algorithm. They are also used in other object detection algorithms such as YOLO (You Only Look Once) and SSD (Single Shot Detector).


There are no direct synonyms for the term “anchor box.” However, it can be referred to as a reference box, template box, or pre-defined bounding box.


There are no direct antonyms for the term “anchor box.”

The same root words

The term “anchor” refers to a device used to hold a ship or boat in place. The term “box” refers to a container or receptacle. The term “anchor box” does not have any direct connection to these root words.

Example Sentences

  1. The Faster R-CNN algorithm uses anchor boxes to detect objects of different sizes and shapes.
  2. The anchor boxes were placed at different positions and scales to improve the accuracy of the object detection process.
  3. The pre-defined bounding boxes acted as templates for detecting objects in the image.
  4. The YOLO algorithm also utilizes anchor boxes to detect objects in real-time.
  5. The SSD algorithm uses a single anchor box for each grid cell to detect objects in an image.
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