Fine-tuned ResNet on DTD
This repository contains a ResNet model fine-tuned on the Describable Textures Dataset (DTD). The model was trained by freezing all layers except the last one to adapt to texture classification.
- Dataset: DTD (47 texture categories, 5640 images)
- Model: Pretrained ResNet with fine-tuning on DTD
- Usage: Load the model weights and run inference on texture images
You can checkout the dataset here.
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