The objective of this project is to build an image classification system that automatically identifies objects in images using deep learning techniques, demonstrating the application of AI in computer vision
Collect labeled image datasets Preprocess and resize images Train convolutional neural networks Evaluate classification accuracy Optimize model parameters Develop image upload interface Display predicted object labels Test system with new images Analyze performance results Document implementation details
