Curiosity · After 12th
How to learn Computer Vision after 12th in Delhi
Computer vision builds systems that extract meaning from images and video — detection, segmentation, tracking and recognition. It combines classical image processing with deep neural architectures. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Computer Vision coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Computer Vision
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Computer Vision depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Computer Vision
Computer vision builds systems that extract meaning from images and video — detection, segmentation, tracking and recognition. It combines classical image processing with deep neural architectures. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- Computer vision is an explicitly documented topic in VSET's AI curriculum at learn.engineering.vips.edu.
- It builds on the deep learning and neural network material in the same curriculum.
- Transformer content in the curriculum covers architectures now used in vision as well as language.
- Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.
Where Computer Vision skills lead
Graduates applying Computer Vision skills typically target roles such as Computer Vision Engineer, Machine Learning Engineer, Perception Engineer, AI Engineer, Research Associate. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn Computer Vision after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Computer Vision-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is computer vision taught at VSET?
Yes — it is one of the named topics in the open AI curriculum at learn.engineering.vips.edu, taught within the AI & ML track.
What do CV capstone projects look like?
Applied computer vision tools are a documented capstone category, built on the IDEA Lab's GPU workstations and, where a physical rig is needed, its embedded hardware and 3D printing.
Do CV students need their own GPU?
No. The AICTE IDEA Lab is equipped with GPU workstations for training and inference.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31