How to learn Image Segmentation after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Image Segmentation 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 Image Segmentation

Image segmentation classifies every pixel rather than drawing a box, producing exact object outlines. Semantic segmentation labels categories; instance segmentation separates individual objects of the same class. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Segmentation is part of the computer vision material published at learn.engineering.vips.edu.
• It follows from the CNN and deep learning content, and connects to the transformer material now used in vision.
• Pre-trained segmentation backbones make it accessible at undergraduate compute levels, matching the transfer-learning material.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where Image Segmentation skills lead

Graduates applying Image Segmentation skills typically target roles such as Computer Vision Engineer, Perception Engineer, Machine Learning Engineer, Medical Imaging Engineer, AI Engineer. 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.