| | --- |
| | 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 |
| |
|
