Object Detection Web App with TensorFlow, OpenCV and Flask
Why take this course?
🚀 Course Title: Object Detection Web App with TensorFlow, OpenCV and Flask 🎓
🧐 Course Headline: Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning!
Dive into the world of Computer Vision with this comprehensive course where you'll learn to detect objects in images and videos. This is not just a theoretical exploration; you'll get hands-on experience by creating your very own Object Detection Web Application from scratch! 🖥️✨
Why Take This Course? Detecting Objects and identifying them within images is a captivating challenge at the forefront of innovation in AI. It's the backbone technology for applications ranging from self-driving cars to sophisticated robotics, and it's all within your reach after completing this course. 🚗🤖
What You Will Learn:
- Understanding Object Detection: Learn what object detection is and how it differs from other areas of computer vision.
- Python Proficiency: Sharpen your Python coding skills, which are essential for data manipulation and model implementation.
- Deep Learning with TensorFlow: Grasp the principles of deep learning using TensorFlow, a powerful library for neural networks.
- Transfer Learning: Utilize pre-trained models to save time and resources while building your own object detection model.
- OpenCV Mastery: Harness the power of OpenCV for real-time image processing and computer vision tasks.
- Flask Framework: Deploy your object detection model as a user-friendly web application using Flask, allowing others to interact with your model via the internet.
- Integration & Testing: Integrate all the learned components into a full-stack application, and test its performance on various datasets.
Course Structure Overview:
- Introduction to Object Detection: Explore the history and applications of object detection in the real world.
- Setting Up Your Development Environment: Get your Python environment ready with all the necessary libraries.
- Understanding Pre-Trained Models: Dive into the Coco dataset and learn how pre-trained models can be leveraged for new tasks.
- Building an Object Detection Model from Scratch: Step by step, create a detection model using TensorFlow and OpenCV.
- Fine-Tuning Your Model: Learn techniques to fine-tune the model with your own dataset for better accuracy.
- Deploying the Model as a Web App: Transform your object detection model into an interactive web application using Flask.
- Testing and Optimization: Test your web app's performance, optimize it for real-world usage, and prepare it for deployment.
Tools & Technologies You Will Use:
- 🐍 Python: The backbone of your codebase and AI model.
- 🚀 Machine Learning & Deep Learning: To train models that learn from data.
- 🧠 Transfer Learning: Leverage pre-trained models to accelerate your development process.
- 🏋️♂️ TensorFlow: The open-source library for numerical computation and machine learning.
- 📷 OpenCV: The open-source computer vision library, perfect for image processing.
- 🌍 Flask: A lightweight web application framework to deploy your model as an app.
Who Is This Course For?
- Aspiring Data Scientists and AI Engineers who want to specialize in Computer Vision.
- Software Developers curious about integrating machine learning into their projects.
- Anyone with a foundational understanding of Python, eager to explore advanced topics in AI.
Join Yaswanth Sai Palaghat, an expert instructor with real-world experience, on this journey to master Object Detection using TensorFlow, OpenCV, and Flask. Enroll now and take your first step towards becoming a Computer Vision specialist! 🌟🚀
Loading charts...