
<div align="center">
  <img width="640" alt="fcakyon/test-model" src="https://huggingface.co/fcakyon/test-model/resolve/main/thumbnail.jpg">
</div>

### Supported Labels

```
['Cracks-and-spalling', 'object']
```

### How to use

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

```bash
pip install -U ultralytics ultralyticsplus
```

- Load model and perform prediction:

```python
from ultralyticsplus import YOLO, render_model_output

# load model
model = YOLO('fcakyon/test-model')

# set model parameters
model.overrides['conf'] = 0.25  # NMS confidence threshold
model.overrides['iou'] = 0.45  # NMS IoU threshold
model.overrides['agnostic_nms'] = False  # NMS class-agnostic
model.overrides['max_det'] = 1000  # maximum number of detections per image

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

# perform inference
for result in model.predict(image, return_outputs=True):
    print(result["det"]) # [[x1, y1, x2, y2, conf, class]]
    print(result["segment"]) # [segmentation mask]
    render = render_model_output(model=model, image=image, model_output=result)
    render.show()
```


{"library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics", "yolo", "vision", "image-segmentation", "pytorch"], "library_version": "8.0.6", "inference": false}
ultralytics tensorboard v8 ultralyticsplus yolov8 yolo vision image-segmentation pytorch model-index region:us
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-segmentation #pytorch #model-index #region-us 


<div align="center">
  <img width="640" alt="fcakyon/test-model" src="URL
</div>

### Supported Labels



### How to use

- Install ultralytics and ultralyticsplus:



- Load model and perform prediction:




### Supported Labels ### How to use

- Install ultralytics and ultralyticsplus:



- Load model and perform prediction:
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-segmentation #pytorch #model-index #region-us 
 ### Supported Labels ### How to use

- Install ultralytics and ultralyticsplus:



- Load model and perform prediction:
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #image-segmentation #pytorch #model-index #region-us 
### Supported Labels### How to use

- Install ultralytics and ultralyticsplus:



- Load model and perform prediction: