Computer Vision Masterclass

A complete CV track — classification, detection, segmentation, and deployment to edge/real‑time systems.

Computer Vision · Intermediate · 10 weeks · 28 lessons · Free

Coverage:

• Image fundamentals and dataset prep.

• Classification with CNNs and ViTs; when to use each.

• Detection (YOLO/SSD/DETR) and segmentation (U‑Net/Mask R‑CNN).

• Video: action recognition, tracking.

• Deployment: ONNX/TensorRT, pruning/quantization for edge.

Outcome: practical skills to build and ship modern CV systems.

Lessons

  1. Image fundamentals and dataset preparation (~40 min)
  2. Classification with CNNs and Vision Transformers (~50 min)
  3. Object detection: YOLO, SSD, and DETR (~55 min)
  4. Segmentation: U-Net and Mask R-CNN (~50 min)
  5. Video: action recognition and tracking (~45 min)
  6. Deployment: ONNX, TensorRT, pruning, and quantization (~45 min)