What a Computer Vision intern does

The Computer Vision role, what you build at each level and what you need before you start.

Teach computers to see: image processing with OpenCV, image classification with transfer learning, object detection with YOLO, tracking, OCR, segmentation and deploying vision models as apps.

What you build, level by level

Level 1: Foundations: Images as numbers, Basic image operations, Drawing and text and more.
Level 2: Building real features: Transfer learning, Data augmentation, Label images for detection and more.
Level 3: Professional work and capstone: Deploy a vision API, Web app for your model, Optimise for edge devices and more.

Where this work is used

Training Trains, W3AppDevelopers and DomainHostly use these skills in real projects: AI / Machine Learning Solutions, IoT Solutions. Interns who pass the readiness check can take paid-company work from the Company Work board in the portal.

Before you start

Basic Python helps. A laptop webcam is enough; model training runs on free Colab or Kaggle GPUs.

Tools and first-week setup →