Object detection is related to computer vision and involves identifying the kinds of objects that have been detected. It is
challenging to detect and classify objects. Recent advances in deep learning have allowed it to detect objects more accurately. In
the past, there were several methods or tools used: R-CNN, Fast-RCNN, Faster-RCNN, YOLO, SSD, etc. This research focuses
on "You Only Look Once" (YOLO) as a type of Convolutional Neural Network. Results will be accurate and timely when tested.
So, we analysed YOLOv3's work by using Yolo3-tiny to detect both image and video objects.
