Object detection can handle multiple objects of different types and sizes in a single image, ... Example: In a street scene, object detection algorithms can identify and locate cars, pedestrians, ...

SSD provides a unified framework for training and inference and offers competitive accuracy compared to approaches that use a different object proposal phase. 7. YOLO (You Only Look Once) For object ...

As one of the fundamental directions of computer vision, object detection plays an essential role in automatic driving, image identification, and other fields. With the rapid development of artificial ...

Traditional algorithms have been developed to classify over 80 general object types. However, they still fall short of comprehensive object classification in specialized domains. This research ...

Object detection: Algorithm detects and localizes all the different objects in the picture using visual indicator (with the usage of pattern recognition) High: Yes: SR-3: Object classification: ...

Object detection techniques depends on edge detection algorithms in initial steps, where the type of the edges can help in determine the type of detected object. Therefore, researchers found that ...

The motivation of this project is the lack of consensus used by different works and implementations concerning the evaluation metrics of the object detection problem.Although on-line competitions use ...