Object detection algorithm

1. What is the best algorithm for object detection?
2. What is object detection algorithm?
3. Does object detection use CNN?

What is the best algorithm for object detection?

Most Popular Object Detection Algorithms. Popular algorithms used to perform object detection include convolutional neural networks (R-CNN, Region-Based Convolutional Neural Networks), Fast R-CNN, and YOLO (You Only Look Once). The R-CNN's are in the R-CNN family, while YOLO is part of the single-shot detector family.

What is object detection algorithm?

Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans look at images or video, we can recognize and locate objects of interest within a matter of moments. The goal of object detection is to replicate this intelligence using a computer.

Does object detection use CNN?

Therefore, the model first uses 1 CNN to obtain region proposals, then follows exactly the same logic with Fast RCNN to detect objects, so it uses these proposals to extract features with CNN, then classify with Fully Connected Layers and improve the ROIs using bounding box regressor.