Classic CV Masterclass

A 40-hour computer-vision masterclass — from OpenCV image processing to object detection and segmentation (YOLO), plus GANs and Siamese networks. Hands-on from the first module, you build real detection, segmentation and recognition pipelines rather than studying theory.

Starting with OpenCV image processing, you progress to feature detection, object detection with YOLO, segmentation, and generative and similarity models. The capstone is a complete computer-vision pipeline on real images.

• Engineers building vision features (detection, recognition, quality control).
• Data scientists moving into computer vision.

• Process and transform images with OpenCV.
• Detect and recognize objects, including real-time YOLO.
• Segment images for pixel-level understanding.
• Apply GANs and Siamese networks to vision problems.
• Build an end-to-end computer-vision pipeline.

• Hands-on labs throughout the program (70% project-based).
• A capstone project demonstrating end-to-end skills.

• Build detection, segmentation and recognition pipelines with OpenCV/YOLO.
• Apply GANs and Siamese networks to real vision problems.

Globally accredited certificate issued by Epsilon AI Learning — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.

• Reading, transforming and filtering images
• Color spaces and thresholding
• Edges, contours and morphology

• Feature detection and description
• Classic object detection
• Recognition pipelines

• How single-stage detectors work
• Training and fine-tuning YOLO
• Real-time inference

• Semantic vs. instance segmentation
• Masks and pixel-level labels
• Use cases and evaluation

• GANs for image generation
• Siamese networks for similarity
• Practical applications

• Framing a vision problem
• Building detection or segmentation
• Evaluating on real images