Learn about various Object Detection Techniques
We will understand what is object detection, why we need to do object detection and the basic idea behind various techniques used to solved this problem. We start with the basic techniques like Viola Jones face detector to some of the advanced techniques like Single Shot Detector.
You only look once (YOLO) algorithm
You only look once (YOLO) is a state-of-the-art, real-time object detection system. It is a fully convolutional network. On a Pascal Titan X, it processes images at 30 FPS and has a mAP of 57.9% on COCO. It has 75 convolutional layers with skip connections and upsampling layers and no pooling.
Single Shot Detection (SSD) Algorithm
Single Shot MultiBox Detector (SSD) is an object detection algorithm that is a modification of the VGG16 architecture. It reached new records in terms of performance and precision for object detection tasks, scoring over 74% mAP at 59 frames per second on standard datasets such as PascalVOC and COCO
Overview of Object Detection in Computer Vision
Object detection models are used to identify multiple relevant objects in a single image.The second significant advantage of object detection models versus image classification ones is that location of the objects is provided. Popular Object Detection Models are YOLO and SSD.