Introduction to CV

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Computer Vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. It helps machines work with images and videos in a way similar to human sight.

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More than 3 billion images are shared online every day, so there is a huge amount of visual data available for training computer vision systems. Better computing power has also made large-scale image …

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Computer vision was first introduced as a concept in the 1970s. Since then, it has developed into a major field used in many real-world applications.

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Image Classification is the task of assigning an input image's label from a fixed set of categories. For example, an image can be classified as cat, dog, or car depending on the main subject.

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A CNN, or Convolutional Neural Network, learns important features from an image in layers. Early layers detect simple features like edges and curves, while deeper layers detect more complex patterns.

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Classification + Localisation is the task of identifying what object is present in an image and also finding its location. It is used only for single objects. A bounding box is usually used to show th…

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Image Classification gives only the category of the whole image. Object Detection finds real-world objects in an image or video and also localizes their positions. It can handle multiple objects at th…

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Object Detection is the process of finding instances of real-world objects such as faces, bicycles, and buildings in images or videos. It combines classification and localization, often by drawing a b…