

### 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('techzizou/yolov8n')
model.conf = conf_threshold
model.iou = iou_threshold
prediction = model.predict(image, imgsz=image_size, show=False, save=False)
```
{"license": "gpl-3.0", "tags": ["object detection", "computer vision", "machine learning", "yolo", "yolov8"], "datasets": ["detection-datasets/coco"]}
object detection computer vision machine learning yolo yolov8 dataset:detection-datasets/coco license:gpl-3.0 has_space region:us
TAGS
#object detection #computer vision #machine learning #yolo #yolov8 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 



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


### Installation


### Yolov8 Inference

### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite ### Installation ### Yolov8 Inference
TAGS
#object detection #computer vision #machine learning #yolo #yolov8 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 
 ### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite ### Installation ### Yolov8 Inference
TAGS
#object detection #computer vision #machine learning #yolo #yolov8 #dataset-detection-datasets/coco #license-gpl-3.0 #has_space #region-us 
### Model Description
Ultralytics: YOLOv8 in PyTorch > ONNX > CoreML > TFLite### Installation### Yolov8 Inference