Capability · Internships

Object Detection internships for B.Tech students in Delhi

Object Detection internships go to students who can show working code, not just a transcript. For B.Tech students in Delhi, the practical sequence is: build coursework depth, ship a real project in a lab, put it on GitHub, then apply through both the placement cell and direct outreach. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, the coursework side is documented coursework depth inside B.Tech CSE (AI & ML), with project work running through the AICTE IDEA Lab.

At a glance

Topic
Object Detection
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

What students actually build

  • Applied computer vision tools are a named capstone category at VSET.
  • Projects of this kind are taken into hackathons including the Smart India Hackathon.

How VSET teaches Object Detection

Object detection finds and labels every instance of interest in an image, returning a class and a bounding box for each. It is the workhorse task behind surveillance, retail analytics, robotics and traffic systems. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • Object detection is part of the computer vision material published at learn.engineering.vips.edu.
  • It builds on the CNN and deep learning content in the same curriculum.
  • Transfer learning from pre-trained detection backbones is the practical route students take, matching the fine-tuning material.
  • Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where Object Detection skills lead

Graduates applying Object Detection skills typically target roles such as Computer Vision Engineer, Perception Engineer, Machine Learning Engineer, Edge AI 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.

Frequently asked questions

When should I start applying for Object Detection internships?

Most students target the summer after second or third year. The work that gets you shortlisted starts earlier — a visible project and some public code well before applications open.

What do Object Detection internship recruiters actually look at?

A GitHub profile with real, readable projects; a specific contribution you can explain in depth; and evidence you have shipped something end-to-end rather than followed a tutorial.

Is object detection covered at VSET?

Yes — it is part of the computer vision material published at learn.engineering.vips.edu, built on the CNN and deep learning content.

What hardware supports detection projects?

GPU workstations in the AICTE IDEA Lab for training, plus its embedded hardware and 3D printing for camera rigs and enclosures.

Do students train detectors from scratch?

Normally no — fine-tuning a pre-trained detection backbone is the practical pattern, consistent with the transfer-learning material in the curriculum.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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