A deep learning project for classifying seven core emotions from facial expressions using transfer learning on RGB images. Focused on model performance, efficiency, and real-world applicability.
Repository of Artificial Neural Networks and Deep Learning homeworks at Polytechnic of Milan. Image Classification and Semantic Segmentation.
The Pizza Topping Classification project is centered around developing a deep learning model capable of automatically identifying different pizza toppings from images.
LUCIAN (Lung Carcinoma Histopathology Imaging & Analysis) is an AI-powered web application for classifying lung tissue types from histopathology slides using a fine-tuned ConvNeXt-Base model.
Recognizing the critical importance of early diagnosis in respiratory diseases, especially pneumonia, this project compares the performance of five state-of-the-art convolutional neural network (CNN) architectures to identify the most effective model for accurate detection.
ConvNeXt 기반 객체 검지 및 재활용 품목 자동 분류 시스템
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