Computer Vision and Deep Learning Labs

This repository contains a collection of labs and experiments on computer vision and deep learning. Each lab is designed to explore different aspects of these fields using various datasets and techniques.

Labs

1. Introduction to OpenCV

2. Implement Image Classification using Deep Learning

3. Create and train a Convolutional Neural Network (CNN) on Animals/CIFAR-10 Dataset

4. Perform Feature Extraction on a Pre-trained CNN

5. Implement Object Detection Using Deep Learning

6. Implement ResNet on CIFAR-10 Dataset

7. Implement LeNet on MNIST Dataset

Open Ended Experiments / New Experiments

10. Train a CNN to make a smile detection application

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Feel free to explore each lab folder for detailed instructions, code, and results. If you find any issues or have suggestions for improvement, please feel free to open an issue or submit a pull request.

Happy learning and experimenting!