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

### Supported Labels

```
['pedestrian', 'people', 'bicycle', 'car', 'van', 'truck', 'tricycle', 'awning-tricycle', 'bus', 'motor']
```

### How to use

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

```bash
pip install ultralyticsplus==0.0.28 ultralytics==8.0.43
```

- Load model and perform prediction:

```python
from ultralyticsplus import YOLO, render_result

# load model
model = YOLO('mshamrai/yolov8n-visdrone')

# 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
results = model.predict(image)

# observe results
print(results[0].boxes)
render = render_result(model=model, image=image, result=results[0])
render.show()
```
{"license": "openrail", "library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics", "yolo", "vision", "object-detection", "pytorch", "visdrone", "uav"], "library_version": "8.0.43", "inference": false}
ultralytics tensorboard v8 ultralyticsplus yolov8 yolo vision object-detection pytorch visdrone uav license:openrail model-index region:us
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #object-detection #pytorch #visdrone #uav #license-openrail #model-index #region-us 


<div align="center">
  <img width="640" alt="mshamrai/yolov8n-visdrone" src="URL
</div>

### Supported Labels



### How to use

- Install ultralyticsplus:



- Load model and perform prediction:


### Supported Labels ### How to use

- Install ultralyticsplus:



- Load model and perform prediction:
TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #object-detection #pytorch #visdrone #uav #license-openrail #model-index #region-us 
 ### Supported Labels ### How to use

- Install ultralyticsplus:



- Load model and perform prediction: