Welcome to the Modern Computer Vision Trainer
A structured browser course aligned with a modern CV curriculum: classical image processing, convolutional networks, detection and segmentation, transformers and generative models, 3D and video, vision–language models, fairness, and deployment—with quizzes and scenarios.
4
Learning Levels
29
Topics
87
Exercises
29
Scenarios
What this trainer includes
- digital images, filtering, edges, classical features, and NN fundamentals
- CNNs, training protocols, ResNets, transfer learning, detection, FPN, modern detectors
- semantic, instance, and panoptic segmentation
- ViTs, self-supervised learning, optical flow, video models, depth, VAE/diffusion, NeRF, efficiency
- CLIP-style VLMs, image editing, robustness, production serving, end-to-end capstone
- English and German; local progress in the browser