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Data Science 2 Months Intermediate Live on Zoom

Computer Vision Mastery

Master computer vision with OpenCV, deep learning, and modern architectures. Object detection, segmentation, face recognition, and video analytics.

4.7 (15 reviews) 95+ enrolled Certificate included

Computer vision is one of the most practical applications of AI. This 2-month course covers everything from image processing basics to cutting-edge models like YOLO, SAM, and vision transformers.

With 32 live Zoom sessions (4 days/week, 90 min each), you will build real computer vision applications including object detectors, face recognition systems, and video analytics pipelines.

  • OpenCV fundamentals & setup
  • Image operations: resize, crop, rotate
  • Filters, blurring & edge detection
  • Morphological operations
  • Feature detection: SIFT, ORB
  • Color spaces & histograms

  • CNN architectures deep dive
  • Transfer learning & fine-tuning
  • Image classification projects
  • Data augmentation strategies
  • Vision Transformers (ViT)
  • Training on custom datasets

  • YOLO v8/v9 — training & inference
  • SSD & Faster R-CNN
  • Custom object detection training
  • Semantic segmentation with SAM
  • Instance segmentation
  • Real-time detection optimization

  • Face detection & recognition
  • Pose estimation
  • OCR & document processing
  • Video analytics pipeline
  • Multi-camera tracking
  • Capstone: production CV application

What You'll Learn

  • Build complete computer vision applications
  • Implement object detection with YOLO and other architectures
  • Use OpenCV for image and video processing
  • Train custom models on your own datasets
  • Deploy CV models for real-time inference
  • Process video streams and build analytics pipelines

Tools & Technologies You'll Master

Python
OpenCV
PyTorch
YOLO
Hugging Face
TensorFlow
SAM

Python knowledge and basic ML understanding required. Our Python and ML courses are recommended first.

Live Zoom classes, Monday to Thursday, 7:00 PM to 8:30 PM IST. 4 days per week, 90 minutes each.

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