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Object Detection Model on Custom Dataset

#objectdetection #computervision #deeplearning Think of self driving car system or video security surveillance it is not enough to identify an object but one must be able to detect where in the image that object is Object detection deals with detecting instances of semantic objects of a certain class in images and videos. object localization aims to locate the main (or most visible) object in an image while object detection tries to find out all the objects and their boundaries. Segmentation is the task of doing pixel-wise classification. This gives a fine separation of objects. It is useful for processing medical images and satellite imagery In this video I will be showing how to perform object detection on custom dataset