---
license: mit
language:
- en
metrics:
- precision
pipeline_tag: object-detection
tags:
- Classification
- YoloV8
- Guns Detection
---

## Model Details
YoloV8n 3M parameters model for Guns Detection, trained on 16k images
### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Shared by [optional]:** Karun Sharma
- **License:** MIT

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Demo:** https://huggingface.co/spaces/Zcket/Gun_Detect

## Uses
Can be used to detect presenece of Guns in images for Moderation.



### Downstream Use [optional]
Classes of Arms/Guns(Pistols, Grenades)


## How to Get Started with the Model

Use the code below to get started with the model.

```py
from ultralytics import YOLO

model = YOLO('best.pt')

results = model(['im1.jpg', 'im2.jpg'])  # return a list of Results objects

# Process results list
for result in results:
    boxes = result.boxes  # Boxes object for bounding box outputs
    masks = result.masks  # Masks object for segmentation masks outputs
    keypoints = result.keypoints  # Keypoints object for pose outputs
    probs = result.probs  # Probs object for classification outputs
    result.show()  # display to screen
    result.save(filename='result.jpg')  # save to disk
```