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---
language: en
license: mit
tags:
- cifar10
- image-classification
- keras
- tensorflow
- custom-model
- dakota-ai
datasets:
- cifar10
model-index:
- name: Dakota AI CIFAR-10 Classifier
results:
- task:
type: image-classification
name: Image Classification
dataset:
type: cifar10
name: CIFAR-10
split: test
metrics:
- type: accuracy
value: 95.0
name: Accuracy
---
# Dakota AI CIFAR-10 Image Classifier
This is a high-accuracy image classifier trained on the CIFAR-10 dataset using transfer learning with VGG16 as the base model.
## Model Details
- **Architecture**: VGG16 Transfer Learning + Custom Classification Head
- **Input Size**: 224×224×3 pixels
- **Output**: 10 CIFAR-10 classes
- **Accuracy**: 95%+ validation accuracy achieved
### CIFAR-10 Classes
0. Airplane
1. Automobile
2. Bird
3. Cat
4. Deer
5. Dog
6. Frog
7. Horse
8. Ship
9. Truck
## Usage
```python
from huggingface_hub import from_pretrained_keras
model = from_pretrained_keras("TrashHobbit/dakota-ai-cifar10-classifier")
```
## Training Details
- Transfer learning from pre-trained VGG16
- Data augmentation and regularization
- Early stopping and learning rate scheduling
- Custom loss and optimization strategies
## Performance
- **Validation Accuracy**: 95%+
- **Test Accuracy**: 95%+
Built by Dakota AI for the Dakota AI Image Classification Demo.
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