Advance Object Detection and Clustering Techniques Used for Big Data
Ankur Dumka, Alaknanda Ashok, Parag Verma, Poonam Verma · 2020
Object detection is a procedure for determining object’s class instance to which it belongs to and also for determining the object location by outputting the bounding box around the object. Segmentation of images is used to analyze the interior of image. Image segmentation is used for separating, analyzing each object individually in order to retrieve the information inside it. Image segmentation locates objects and boundaries within an image and labels each pixel of the image in such a way that every pixel with the same label shares certain characteristics. In hard clustering, each data point should belong to only one cluster completely, whereas in soft clustering instead of putting each data point into a separate cluster, a probability or likelihood of that data point is assigned in those clusters. Since clustering utilizes the distance between the data points to differentiate the data points into different groups, thus without the mention and explanation of the distance units, the topic remains incomplete.