This video is very useful for learn Yolo v7


Lecture by Nagarajan.S


What is Real-time Object Detection?

In computer vision, real-time object detection is a very important task that is often a key component in computer vision systems. Applications that use real-time object detection models include video analytics, robotics, autonomous vehicles, multi-object tracking and object counting, medical image analysis, and so on.

An object detector is an object detection algorithm that performs image recognition tasks by taking an image as input and then predicting bounding boxes and class probabilities for each object in the image

YOLOv7 provides a greatly improved real-time object detection accuracy without increasing the inference costs.
As previously shown in the benchmarks, when compared to other known object detectors,
YOLOv7 can effectively reduce about 40% of parameters and 50% computation of state-of-the-art real-time.

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