#What
This video is very useful for learn Yolo algorithm!
Lecture by Nagarajan.S
What is object detection?
Object detection is a computer vision task that involves identifying and locating objects in images or videos. It is an important part of many applications, such as surveillance, self-driving cars, or robotics
What is YOLO?
You Only Look Once (YOLO) is a state-of-the-art, real-time object detection algorithm
YOLO Architecture:
It has overall 24 convolutional layers, four max-pooling layers, and two fully connected layers.
The architecture works as follows:
Resizes the input image into 448x448 before going through the convolutional network.
A 1x1 convolution is first applied to reduce the number of channels, which is then followed by a 3x3 convolution to generate a cuboidal output.
The activation function under the hood is ReLU, except for the final layer, which uses a linear activation function.
Some additional techniques, such as batch normalization and dropout, respectively regularize the model and prevent it from overfitting.
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