Image Classification
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8n-pokemon-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8n-pokemon-classification with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8n-pokemon-classification") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| {"input_size": 224, "task": "image-classification", "ultralyticsplus_version": "0.0.23", "ultralytics_version": "8.0.21", "model_type": "v8", "score_top1_acc": 0.02322, "score_top5_acc": 0.09016} |