Image Classification
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8n-chest-xray-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8n-chest-xray-classification with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8n-chest-xray-classification") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
38f2a11
1
Parent(s): 3ea1f8c
Update README.md
Browse files
README.md
CHANGED
|
@@ -77,3 +77,4 @@ processed_result = postprocess_classify_output(model, result=results[0])
|
|
| 77 |
print(processed_result) # {"cat": 0.4, "dog": 0.6}
|
| 78 |
```
|
| 79 |
|
|
|
|
|
|
| 77 |
print(processed_result) # {"cat": 0.4, "dog": 0.6}
|
| 78 |
```
|
| 79 |
|
| 80 |
+
**More models available at: [awesome-yolov8-models](https://yolov8.xyz)**
|