D

Deep Learning Project

Project information

This code tries to answer the questions: what are the hardest categories to classify in both single label and multi label image classification tasks? Why do these categories present greater difficulty? Could data augmentation change which the worst performing classes are? Are there consistent patterns across both tasks that explain the poorest performing classes? By using LeNet-5, ResNet-18 and DINO ViT deep learning model architectures

dataset remote-device deep learning

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MIT License

Created on

April 10, 2025

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