In this segment, you will study some common types of image processing tasks which can be solved using CNNs.
Some applications that we have discussed are:
- Object localisation -Identifying the local region of the objects (as a rectangular area) and classifying them.
- Semantic segmentation: Identifying the exact shapes of the objects (pixel by pixel) and classifying them.
- Optical Character Recognition (OCR): Recognise characters in an image. For e.g. for the top-left image, the output will be ‘1680’.
- Let’s see some more examples of image processing applications.
- There are various other applications of CNNs in the healthcare sector. Many medical imaging applications used in radiology, cardiology, gastroenterology etc. involve classification, detection, and segmentation of objects which can be analysed using CNNs.
In the next segment, you will study the motivation behind CNNs’ architecture coming from the visual system of mammals.
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