CV Basics
Understand image classification, object detection and common CV datasets.
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After this skill you can…
- Classify images with a pre-trained CNN
- Understand IoU, mAP metrics
- Use OpenCV for image preprocessing
Watch (10 videos)
Building a Dog Breed Identifier App from scratch - DogNet
→ Develop a computer vision model→ Use DogNet for image classification
Drawing and Writing on Image - OpenCV with Python for Image and Video Analysis 3
→ Draw shapes on images with OpenCV→ Overlay text on videos with Python
[LIVE CODING] Visualizing Football Plays with Computer Vision (Part 1)
→ Track objects in videos with OpenCV→ Implement zero-shot object detection with YOLOv4
Real Time Face Mask Detection with Tensorflow and Python | Custom Object Detection w/ MobileNet SSD
→ Build a custom object detection model→ Detect objects in real-time
How to Read, View and Export Images using OpenCV for Python // OpenCV for Beginners
→ Read images with OpenCV→ Visualize images with Matplotlib
Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
→ Build computer vision models with TensorFlow→ Classify images using Fashion MNIST dataset
This Facebook AI model is the CHATGPT of Computer Vision (with Python Code)
→ Implement image segmentation using a Facebook AI model→ Use Python for computer vision tasks
How to Install OpenCV for Python // OpenCV for Beginners
→ Install OpenCV for Python→ Run OpenCV samples in Jupyter
Accelerating Vision AI Applications Using NVIDIA Transfer Learning Toolkit and Pre-Trained Models
→ Build vision AI models with pre-trained models→ Accelerate vision AI application development
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
→ Implement convolutional neural networks for image classification→ Use Colab for deep learning prototyping
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