Aerial-Object-Classification-and-Detection

“Developed an Aerial Object Classification system using Deep Learning to distinguish between birds and drones from aerial images. Built a custom CNN model in PyTorch, trained on labeled image datasets, and deployed the solution using Streamlit for real-time image prediction with confidence scoring.