Learn the difference between object detection and object recognition, how they work, and some common applications and examples in machine learning and computer vision.

Image classification and object detection techniques are important methods when it comes to working on the domain of computer vision. These techniques help machines understand and identify real-time ...

Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era. All ...

This paper proposes a new detection and recognition method for moving objects that uses the temporal difference method (TDM) and the hidden Markov model (HMM). First, we apply the concept of entropy ...

Regardless, for the animal to discriminate between a familiar and a novel object indicates 'recognition' of the previously experienced object, as well as detection of differences between the ...

A state-of-the-art Object Detection and Recognition model is Yolov5, the latest in a family. There are eight version of Yolov5 – the first four process 640×640 images, the second four process ...

Intuitively, the model detects less crowded objects more accurately. However, the difference is less significant compared to the model's performance in detecting objects of different sizes . TABLE 2 .