
<div align="center">
  <img width="640" alt="keremberke/yolov8n-chest-xray-classification" src="https://huggingface.co/keremberke/yolov8n-chest-xray-classification/resolve/main/thumbnail.jpg">
</div>

### Supported Labels

```
['NORMAL', 'PNEUMONIA']
```

### How to use

- Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):

```bash
pip install ultralyticsplus==0.0.23 ultralytics==8.0.21
```

- Load model and perform prediction:

```python
from ultralyticsplus import YOLO, postprocess_classify_output

# load model
model = YOLO('keremberke/yolov8n-chest-xray-classification')

# set model parameters
model.overrides['conf'] = 0.25  # model confidence threshold

# set image
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'

# perform inference
results = model.predict(image)

# observe results
print(results[0].probs) # [0.1, 0.2, 0.3, 0.4]
processed_result = postprocess_classify_output(model, result=results[0])
print(processed_result) # {"cat": 0.4, "dog": 0.6}
```

**More models available at: [awesome-yolov8-models](https://yolov8.xyz)**
{"library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics", "yolo", "vision", "image-classification", "pytorch", "awesome-yolov8-models"], "datasets": ["keremberke/chest-xray-classification"], "library_version": "8.0.21", "inference": false, "model-index": [{"name": "keremberke/yolov8n-chest-xray-classification", "results": [{"task": {"type": "image-classification"}, "dataset": {"name": "chest-xray-classification", "type": "keremberke/chest-xray-classification", "split": "validation"}, "metrics": [{"type": "accuracy", "value": 0.9433, "name": "top1 accuracy"}, {"type": "accuracy", "value": 1, "name": "top5 accuracy"}]}]}]}
ultralytics tensorboard v8 ultralyticsplus yolov8 yolo vision image-classification pytorch awesome-yolov8-models dataset:keremberke/chest-xray-classification model-index region:us
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-classification #pytorch #awesome-yolov8-models #dataset-keremberke/chest-xray-classification #model-index #region-us 


<div align="center">
  <img width="640" alt="keremberke/yolov8n-chest-xray-classification" src="URL
</div>

### Supported Labels



### How to use

- Install ultralyticsplus:



- Load model and perform prediction:



More models available at: awesome-yolov8-models
### Supported Labels ### How to use

- Install ultralyticsplus:



- Load model and perform prediction:



More models available at: awesome-yolov8-models
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-classification #pytorch #awesome-yolov8-models #dataset-keremberke/chest-xray-classification #model-index #region-us 
 ### Supported Labels ### How to use

- Install ultralyticsplus:



- Load model and perform prediction:



More models available at: awesome-yolov8-models
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-classification #pytorch #awesome-yolov8-models #dataset-keremberke/chest-xray-classification #model-index #region-us 
### Supported Labels### How to use

- Install ultralyticsplus:



- Load model and perform prediction:



More models available at: awesome-yolov8-models