Object detection is one of the problems in the area of computer vision where we recognize what objects are inside a given image and also where they are in the image. Object detection is also implemented for videos.
Object detection draws a bounding box around the objects found and labels the box with the object name. The model predicts wherein the image each object is and what label should be applied to the object found.
Application of Object Detection
A well-known application of Object Detection is in self-driving cars where the algorithm not only needs to detect the cars,
but also pedestrians, cycles, trees, and other objects in the frame.
Let us discuss the Top 10 Algorithms for Object Detection in Machine Learning.
Top 10 Object Detection Algorithms in Machine Learning is a short video to discuss ten types of Object Detection Algorithms in deep learning.
The discussed algorithms are
- Region-based Convolutional Neural Networks(R-CNN)
- Fast R-CNN
- Faster R-CNN
- Mask R-CNN
- Region-based Fully Convolutional Network (R-FCN)
- Histogram of Oriented Gradients (HOG)
- Spatial Pyramid Pooling (SPP-net)
- Single Shot Detector (SSD)
- You Only Look Once (YOLO)
Happy Learning !!