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
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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
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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
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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
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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