- title: Unit 0 - Welcome
  sections:
  - title: Welcome to the Community Computer Vision Course
    local: "Unit 0 - Welcome/welcome"
- title: Unit 1 - Fundamentals
  sections:
  - title: Vision
    local: "Unit 1 - Fundamentals/Chapter 1 - Fundamentals of Computer Vision/motivation"
  - title: What Is Computer Vision
    local: "Unit 1 - Fundamentals/Chapter 1 - Fundamentals of Computer Vision/definition"
  - title: Applications of Computer Vision
    local: "Unit 1 - Fundamentals/Chapter 1 - Fundamentals of Computer Vision/applications"
  - title: Image
    local: "Unit 1 - Fundamentals/image_and_imaging/image"
  - title: Image Acquisition Fundamentals in Digital Processing
    local: "Unit 1 - Fundamentals/image_and_imaging/imaging"
  - title: Imaging in Real-life
    local: "Unit 1 - Fundamentals/image_and_imaging/extension-image"
  - title: Pre-processing for Computer Vision Tasks
    local: "Unit 1 - Fundamentals/image_and_imaging/examples-preprocess"
  - title: Feature Description
    local: "Unit 1 - Fundamentals/feature-extraction/feature_description"
  - title: Feature Matching
    local: "Unit 1 - Fundamentals/feature-extraction/feature-matching"
  - title: Real-world Applications of Feature Extraction in Computer Vision
    local: "Unit 1 - Fundamentals/feature-extraction/real-world-applications"
- title: Unit 2 - Convolutional Neural Networks
  sections:
  - title: Introduction to Convolutional Neural Networks
    local: "Unit 2 - Convolutional Neural Networks/introduction"
  - title: Introduction to Transfer Learning
    local: "Unit 2 - Convolutional Neural Networks/intro-transfer-learning"
  - title: MobileNet
    local: "Unit 2 - Convolutional Neural Networks/mobilenet"
  - title: Lets Dive Further with MobileNet
    local: "Unit 2 - Convolutional Neural Networks/mobilenetextra"
  - title: Very Deep Convolutional Networks for Large Scale Image Recognition
    local: "Unit 2 - Convolutional Neural Networks/vgg"
  - title: Googlenet
    local: "Unit 2 - Convolutional Neural Networks/googlenet"
  - title: ConvNext - A ConvNet for the 2020s (2022)
    local: "Unit 2 - Convolutional Neural Networks/convnext"
- title: Unit 3 - Vision Transformers
  sections:
  - title: DEtection TRansformer (DETR)
    local: "Unit 3 - Vision Transformers/Common Vision Transformers - DETR"
  - title: Convolutional Vision Transformer (CvT)
    local: "Unit 3 - Vision Transformers/Convolutional Vision Transformer"
  - title: Dilated Neighborhood Attention Transformer (DINAT)
    local: "Unit 3 - Vision Transformers/Dinat Transformer"
  - title: MobileViT v2
    local: "Unit 3 - Vision Transformers/MobileVIT"
  - title: FineTuning Vision Transformer for Object Detection
    local: "Unit 3 - Vision Transformers/Vision Transformer for Objection Detection"
  - title: Swin Transformer
    local: "Unit 3 - Vision Transformers/Swin Transformer"
  - title: OneFormer
    local: "Unit 3 - Vision Transformers/oneformer"
  - title: Vision Transformers for Image Classification
    local: "Unit 3 - Vision Transformers/Vision Transformers for Image Classification"
  - title: Vision Transformers for Image Segmentation
    local: "Unit 3 - Vision Transformers/Vision Transformers for Image Segmentation"
  - title: Knowledge Distillation with Vision Transformers
    local: "Unit 3 - Vision Transformers/KnowledgeDistillation"
- title: Unit 4 - Multimodal Models
  sections:
  - title: Introduction
    local: "Unit 4 - Multimodal Models/introduction"
  - title: Exploring Multimodal Text and Vision Models - Uniting Senses in AI
    local: "Unit 4 - Multimodal Models/pre-intro"
  - title: Multimodal Tasks and Models
    local: "Unit 4 - Multimodal Models/tasks-models-part1"
  - title: Introduction to CLIP
    local: "Unit 4 - Multimodal Models/CLIP and relatives/Introduction"
  - title: Losses
    local: "Unit 4 - Multimodal Models/CLIP and relatives/losses"
  - title: Contrastive Language-Image Pre-training (CLIP)
    local: "Unit 4 - Multimodal Models/CLIP and relatives/clip"
  - title: Multimodal Text Generation (BLIP)
    local: "Unit 4 - Multimodal Models/CLIP and relatives/blip"
  - title: Multimodal Object Detection (OWL-ViT)
    local: "Unit 4 - Multimodal Models/CLIP and relatives/owl_vit"
  - title: Transfer Learning of Multimodal Models
    local: "Unit 4 - Multimodal Models/transfer_learning"
  - title: Introduction to Vision Language Models
    local: "Unit 4 - Multimodal Models/vlm-intro"
  - title: Supplementary Reading and Resources
    local: "Unit 4 - Multimodal Models/supplementary-material"
- title: Unit 5 - Generative Models
  sections:
  - title: Introduction
    local: "Unit 5 - Generative Models/Introduction/Introduction"
  - title: Variational Autoencoders
    local: "Unit 5 - Generative Models/variational_autoencoders"
  - title: Generative Adversarial Networks
    local: "Unit 5 - Generative Models/gans"
  - title: StyleGAN Variants
    local: "Unit 5 - Generative Models/GANs & VAEs/StyleGAN"
  - title: CycleGAN Introduction
    local: "Unit 5 - Generative Models/PRACTICAL APPLICATIONS & CHALLENGES/cycle_gan"
  - title: Introduction to Diffusion Models
    local: "Unit 5 - Generative Models/Diffusion models/Introduction - Diffusions"
  - title: Introduction to Stable Diffusion
    local: "Unit 5 - Generative Models/Diffusion models/stable_diffusion"
  - title: Control over Diffusion Models
    local: "Unit 5 - Generative Models/Diffusion models/Simple explanation and showcase of external resources"
  - title: Privacy, Bias and Societal Concerns
    local: "Unit 5 - Generative Models/PRACTICAL APPLICATIONS & CHALLENGES/Ethical Issues"
- title: Unit 6 - Basic CV Tasks
  sections:
  - title: Object Detection
    local: "Unit 6 - Basic CV Tasks/object_detection"
  - title: Image Segmentation
    local: "Unit 6 - Basic CV Tasks/segmentation"
- title: Unit 7 - Video and Video Processing
  sections:
  - title: Introduction
    local: "Unit 7 - Video and Video Processing/introduction-to-video"
  - title: Video Processing Basics
    local: "Unit 7 - Video and Video Processing/video-processing-basics"
- title: Unit 8 - 3D Vision, Scene Rendering and Reconstruction
  sections:
  - title: Applications of 3D Vision
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/Introduction/applications"
  - title: A Brief History of 3D Vision
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/Introduction/brief_history"
  - title: Camera models
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/Terminologies
      and Basics/CameraModels"
  - title: Basics of Linear Algebra for 3D Data
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/Terminologies
      and Basics/LinearAlgebra"
  - title: Representations for 3D Data
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/Terminologies
      and Basics/Representations"
  - title: Novel View Synthesis
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/3D Vision/NVS"
  - title: Introduction to Stereo Vision
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/3d_measurements_stereo_vision"
  - title: Neural Radiance Fields (NeRFs)
    local: "Unit 8 - 3D Vision, Scene Rendering and Reconstruction/nerf"
- title: Unit 9 - Model Optimization
  sections:
  - title: Introduction to Model Optimization for Deployment
    local: "Unit 9 - Model Optimization/intro_to_model_optimization"
  - title: Model Deployment Considerations
    local: "Unit 9 - Model Optimization/model_deployment"
  - title: Model Optimization Tools and Frameworks
    local: "Unit 9 - Model Optimization/tools_and_frameworks"
- title: Unit 10 - Synthetic Data Creation
  sections:
  - title: Introduction
    local: "Unit 10 - Synthetic Data Creation/introduction"
  - title: Introduction to Point Clouds
    local: "Unit 10 - Synthetic Data Creation/point_clouds"
  - title: Using a 3D Renderer to Generate Synthetic Data
    local: "Unit 10 - Synthetic Data Creation/blenderProc"
  - title: Synthetic Data Generation Using DCGAN
    local: "Unit 10 - Synthetic Data Creation/synthetic-lung-images"
  - title: Synthetic Data Generation with Diffusion Models
    local: "Unit 10 - Synthetic Data Creation/datagen-diffusion-models"
  - title: Challenges and Opportunities Associated With Using Synthetic Data
    local: "Unit 10 - Synthetic Data Creation/challenges"
  - title: Synthetic Datasets
    local: "Unit 10 - Synthetic Data Creation/synthetic_datasets"
- title: Unit 11  - Zero Shot Computer Vision
  sections:
  - title: Introduction
    local: "Unit 11  - Zero Shot Computer Vision/1"
  - title: Zero-shot Learning
    local: "Unit 11  - Zero Shot Computer Vision/2"
- title: Unit 12 - Ethics and Biases
  sections:
  - title: 'Exploring Ethical Foundations in CV Models'
    local: "Unit 12 - Ethics and Biases/pre-intro"
  - title: Introduction
    local: "Unit 12 - Ethics and Biases/introduction"
  - title: "Ethics and Bias in AI"
    local: "Unit 12 - Ethics and Biases/ethics-bias-ai"
  - title: "Hugging Face's efforts: Ethics and Society"
    local: "Unit 12 - Ethics and Biases/conclusion"
  - title: "Supplementary reading and resources"
    local: "Unit 12 - Ethics and Biases/supplementary-material"
- title: Unit 13 - Outlook
  sections:
  - title: Retention In Vision
    local: "Unit 13 - Outlook/Retention - overview"
  - title: Overview of Hiera
    local: "Unit 13 - Outlook/hiera"
  - title: Overview of Hyena
    local: "Unit 13 - Outlook/hyena"
  - title: Overview of I-JEPA
    local: "Unit 13 - Outlook/i-jepa"
