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Deep Learning and Computer Vision Projects

This repository contains a collection of deep learning and computer vision projects. The projects demonstrate various techniques and models used in deep learning and computer vision to solve different tasks such as image classification, object detection, image segmentation, and more.

Table of Contents

Introduction

Deep learning and computer vision are rapidly evolving fields with numerous applications in different domains. This repository includes implementations of popular algorithms, custom models, and experiments conducted using various datasets. Each project is structured to provide a clear understanding of the concepts and practical aspects of deep learning and computer vision..

Project List

  1. Image Classification:

    • Implementations of CNNs, Transfer Learning, and fine-tuning using popular architectures such as ResNet, VGG, Inception, etc.

  2. Object Detection:

    • YOLO, SSD, Faster R-CNN, and custom object detection models.

  3. Image Segmentation:

    • U-Net, Mask R-CNN, and semantic segmentation using custom datasets.

  4. Generative Models:

    • GANs, Variational Autoencoders (VAEs), and other generative techniques.

  5. Other Projects:

    • Any additional projects such as face recognition, pose estimation, etc.

Installation

To get started with these projects, clone the repository and install the necessary dependencies:

git clone https://github.com/sidhyaashu/DL_Computer_Vision.git
cd your-repo-name
pip install -r requirements.txt