varunm2004/yolov8x.pt

YOLOv8x Model for Object Detection

This is a YOLOv8x model trained on the duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset. The model is designed to detect multiple classes in images and videos with high accuracy.

How to Use

You can use this model directly with the Hugging Face Inference API or deploy it to your own infrastructure.

Example with the Hugging Face Inference API

import requests

API_URL = "https://huggingface.co/proxy/api-inference.huggingface.co/models/varunm2004/yolov8x"
headers = {"Authorization": f"Bearer YOUR_HUGGINGFACE_TOKEN"}

def query(filename):
    with open(filename, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, files={"file": data})
    return response.json()

output = query("example.jpg")
print(output)