Computer Vision — Prelims Strategy

Prelims Strategy

For Prelims, the strategy for Computer Vision involves a strong focus on factual recall and conceptual clarity. Aspirants should prioritize understanding the core definition, key algorithms (e.g., CNNs, YOLO, GANs – what they do, not deep technical details), and their primary applications.

Memorize India-specific examples and government initiatives, such as the use of CV in Ayushman Bharat Digital Health Mission, Smart Cities, and ISRO's projects, along with relevant policy documents like the National AI Strategy (NITI Aayog) and the Digital Personal Data Protection Act, 2023.

Pay attention to the 'what' and 'where' of CV. Questions often test the basic function of an algorithm (e.g., YOLO for real-time object detection) or the sector where a particular application is used.

Also, be prepared for questions on ethical concerns like privacy and bias, linking them to fundamental rights. Practice MCQs that test your ability to differentiate between similar concepts (e.g., CV vs.

Image Processing) and identify correct statements about its applications and policy context. A quick recall of keywords, acronyms, and their functions will be highly beneficial.