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augmented-donut-pose
kentaromiz/augmented-donut-pose
augmented-donut-pose is a machine learning model from kentaromiz. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model Architecture: resnet18 Pre-trained: Yes Number of Classes: 2
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At a glance
- Model type
- resnet18
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 50055815
Model card
From the Hugging Face model README
Model Card for augmented-donut-pose
Model Details
- Model Architecture: resnet18
- Pre-trained: Yes
- Number of Classes: 2
Dataset Details
- Dataset Name: lay-or-stand-donuts-dataset
- Training Samples: 246
- Validation Samples: 42
- Test Samples: 72
Training Metrics
- Final Training Loss: 0.1101
- Validation Accuracy: 100.00%
Data Augmentations
This model was trained with advanced data augmentations including RandomResizedCrop, RandomHorizontalFlip, RandomRotation, ColorJitter, and RandomErasing to improve generalization.
Augmented Sample Images
This repository also contains a selection of augmented sample images generated during the data preparation phase, which can be found in the augmented_samples/ directory.
Usage
This model is a classification model trained to distinguish between two classes related to donuts (e.g., 'lay' or 'stand'). It was fine-tuned on the lay-or-stand-donuts-dataset dataset with enhanced data augmentations.
- Type
- resnet18
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025