---
license: apache-2.0
tags:
  - image-classification
  - computer-vision
  - yolo
  - anime
  - roxy-migurdia
  - mushoku-tensei
  - character-recognition
language:
  - en
base_model: yolo26n-cls.pt
library_name: ultralytics
metrics:
  - accuracy
  - precision
  - recall
  - f1-score
---

# Roxy Migurdia Character Classifier

A YOLO-based image classifier trained to recognize Roxy Migurdia from the anime/manga series "Mushoku Tensei: Jobless Reincarnation".

## Model Details

- **Task**: Image Classification
- **Input Size**: 224x224 pixels
- **Classes**: Roxy Migurdia detection
- **Framework**: Ultralytics

## Training Configuration

- **Epochs**: 100
- **Batch Size**: 64
- **Optimizer**: Auto (SGD with momentum)
- **Learning Rate**: 0.001 (with cosine annealing)
- **Augmentation**: RandAugment, Mosaic, Random Erasing
- **Patience**: 20 (early stopping)

## Usage

```python
from ultralytics import YOLO

# Load the model
model = YOLO('weights/best.pt')

# Run inference
results = model('path/to/image.jpg')

# Get predictions
for result in results:
    probs = result.probs
    print(f"Class: {result.names[probs.top1]}, Confidence: {probs.top1conf:.2f}")
```

## Results

Training results and confusion matrices are available in the repository.

## Dataset

The model was trained on a custom dataset of Roxy Migurdia images.

## License

Apache 2.0