A CNN-based deep learning model that categorizes user-uploaded images with high accuracy across multiple classes.
This image classification system leverages a Convolutional Neural Network trained on a diverse dataset to categorize user-uploaded images into predefined classes. The model was optimized for accuracy and inference speed, making it suitable for real-world deployment. It includes a clean interface for uploading images and viewing classification results.