metadata
license: mit
datasets:
- coco
language: []
metrics:
- precision
- recall
- mAP50
- mAP50-95
base_model: ultralytics/yolov11
pipeline_tag: object-detection
library_name: ultralytics
tags:
- yolo
- object-detection
- computer-vision
- ultralytics
YOLOv11 Object Detection Model
This is a YOLOv11 model trained for object detection tasks. The model was trained using the Ultralytics YOLOv11 framework.
📦 Model Details
- Framework: Ultralytics YOLOv11
- Task: Object Detection
- Dataset: COCO format
- Model Size: ~5MB
- Author: Phurin1
🧠 Use with Ultralytics
To use this model in your Python code:
from ultralytics import YOLO
model = YOLO("Phurin1/best-p") # Or the full URL: "https://huggingface.co/Phurin1/best-p"
results = model("https://ultralytics.com/images/bus.jpg", save=True)
results.show()