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Table of Contents for Notebooks

Welcome to the Community Computer Vision Course! 🤗 Join us as we delve into the fundamentals and recent developments in computer vision. Our goal is to offer a beginner-friendly resource. Let’s dive into the chapters for a wealth of knowledge!

Chapter Title | Notebooks | Colabs
--- | --- | ---
Unit 0 - Welcome | No Notebook | No Colab
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Unit 1 - Fundamentals | No Notebook | No Colab
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Unit 2 - Convolutional Neural Networks | Transfer Learning with VGG19 | Transfer Learning with VGG
| Using ResNet with timm | timm_Resnet
-------------------------------------------------------- | ---------------------------------------------------------- | ----------
Unit 3 - Vision Transformers | Detection Transformer (DETR) | Detection Transformer (DETR)
| Fine-tuning Vision Transformers for Object Detection | Fine-tuning Vision Transformers for Object Detection
| Knowledge Distillation | Knowledge Distillation
| LoRA Fine-tuning for Image Classification | LoRA Fine-tuning for Image Classification
| Fine-tuning for Multilabel Image Classification | Fine-tuning for Multilabel Image Classification
| Transfer Learning for Image Classification | Transfer Learning for Image Classification
| Transfer Learning for Image Segmentation | Transfer Learning for Image Segmentation
| Swin Transformer | Swin Transformer
-------------------------------------------------------- | ---------------------------------------------------------- | ----------
Unit 4 - Multimodal Models | Clip Crop | Clip Crop
| Fine-tuning CLIP | Fine-tuning CLIP
| Clustering with CLIP | Clustering with CLIP
| Image Classification with CLIP | Image Classification with CLIP
| Image Retrieval with Prompts | Image Retrieval with Prompts
| Image Similarity | Image Similarity
-------------------------------------------------------- | ---------------------------------------------------------- | ----------
Unit 5 - Generative Models | No Notebook | No Colab
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Unit 6 - Basic CV Tasks | Fine-tune SAM on Custom Dataset | Fine-tune SAM on Custom Dataset
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Unit 7 - Video and Video Processing | No Notebook | No Colab
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Unit 8 - 3D Vision, Scene Rendering, and Reconstruction | No Notebook | No Colab
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Unit 9 - Model Optimization | Edge TPU | Edge TPU
| ONNX | ONNX
| OpenVINO | OpenVINO
| Optimum | Optimum
| TensorRT | TensorRT
| TMO | TMO
| Torch | Torch
-------------------------------------------------------- | ---------------------------------------------------------- | ----------
Unit 10 - Synthetic Data Creation | Dataset Labeling with OWLv2 | Dataset Labeling with OWLv2
| Generating Synthetic Lung Images | Generating Synthetic Lung Images
| BlenderProc Examples | BlenderProc Examples
| Image Labeling with BLIP-2 | Image Labeling with BLIP-2
| Synthetic Data Creation with SDXL Turbo | Synthetic Data Creation with SDXL Turbo
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Unit 11 - Zero Shot Computer Vision | No Notebook | No Colab
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Unit 12 - Ethics and Biases | No Notebook | No Colab
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Unit 13 - Outlook | No Notebook | No Colab