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A PyTorch-based multimodal neural network project that combines ResNet-18 image features with filename text embeddings to achieve intelligent classification of four types of garbage, with a validation accuracy of approximately 85%.
Section 01
A PyTorch-based multimodal neural network project that combines ResNet-18 image features with filename text embeddings to achieve intelligent classification of four types of garbage, with a validation accuracy of approximately 85%.
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