Computer Vision Toolkit

1. 1Explore the Computer Vision Toolkit repository on GitHub
2. 2Run the image classification example using Python and OpenCV
3. 3Configure the object detection model using YOLO or SSD
4. 4Test the model on a custom dataset
5. 5Apply the trained model to a real-world application

Data scientists and software engineers can benefit from this toolkit to build and deploy computer vision models

💡 Use pre-trained models and fine-tune them for specific use cases to improve accuracy

🔍 Boost your computer vision skills with a production-ready toolkit!