TrashHobbit/dakota-ai-cifar10-classifier

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

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.