
### Model Description
[Ultralytics:](https://github.com/ultralytics/ultralytics/) YOLOv8 in PyTorch > ONNX > CoreML > TFLite]


### Installation
```
pip install ultralytics
```

### Yolov8 Inference
```python
from ultralytics import YOLO

model = YOLO('kadirnar/yolov8x6-v8.0')
model.conf = conf_threshold
model.iou = iou_threshold
prediction = model.predict(image, imgsz=image_size, show=False, save=False)
```

### BibTeX Entry and Citation Info
 ```

```
{"license": "gpl-3.0", "tags": ["object-detection", "computer-vision", "yolov8", "yolov5"], "datasets": ["detection-datasets/coco"]}
object-detection computer-vision yolov8 yolov5 dataset:detection-datasets/coco license:gpl-3.0 has_space region:us
TAGS
#object-detection #computer-vision #yolov8 #yolov5 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 


### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite]


### Installation


### Yolov8 Inference


### BibTeX Entry and Citation Info
 
### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite] ### Installation ### Yolov8 Inference ### BibTeX Entry and Citation Info
TAGS
#object-detection #computer-vision #yolov8 #yolov5 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 
 ### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite] ### Installation ### Yolov8 Inference ### BibTeX Entry and Citation Info
TAGS
#object-detection #computer-vision #yolov8 #yolov5 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 
### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite]### Installation### Yolov8 Inference### BibTeX Entry and Citation Info