Image Classification with Footballers | End-to-End Project | Part 1
In this video, I take you through a complete Footballer Face Classification project using Deep Learning (CNN). 🚀
🔹 Project Overview:
Data Collection & Preprocessing 📂
Face Detection & Cropping 🖼️
CNN Model Architecture & Training 🏋️
Model Evaluation & Optimization 📊
Deploying the Model with Streamlit 🌐
🔹 Technologies Used:
✅ PyTorch & Torchvision 🔥
✅ RetinaFace for Face Detection 👁️
✅ Streamlit for Web Deployment 🌍
✅ Google Colab & VSCode ⚡
📌 Source Code & Dataset: GitHub Repository 🔗 https://github.com/NITIN3523/Football...
By the end of this video, you'll have a working end-to-end AI application that predicts footballers based on their facial images. ⚽💡
🔴 Watch till the end for model deployment and see how to use it in real-world applications!
💬 Have questions? Drop a comment below! 👇
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