metadata
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
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