Confidence threshold about ultralytics HOT 4 OPEN

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Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

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from ultralytics.

Hello!

Thank you for your question and for checking the existing issues and discussions before posting. The default confidence threshold for YOLOv8.2 is set to 0.25. This threshold determines the minimum confidence score for detections to be considered valid.

To change the confidence threshold, you can adjust the conf parameter when running predictions. Here’s how you can do it using both the Python API and the Command Line Interface (CLI):

Python Example

from ultralytics import YOLO

# Load a YOLOv8 model
model = YOLO("yolov8n.pt")

# Run predictions with a custom confidence threshold
results = model.predict(source="path/to/your/image.jpg", conf=0.5)  # Set confidence threshold to 0.5

CLI Example

yolo predict model=yolov8n.pt source=path/to/your/image.jpg conf=0.5

Feel free to adjust the conf value to suit your specific needs. If you encounter any issues or have further questions, please don't hesitate to ask. Happy experimenting! 😊

from ultralytics.

Thanks

from ultralytics.

@prasen832 hello!

Thank you for reaching out. To address your question about the default confidence threshold and how to change it:

The default confidence threshold for YOLOv8.2 is set to 0.25. This threshold determines the minimum confidence score for detections to be considered valid. If you wish to adjust this threshold, you can do so using the conf parameter.

Changing Confidence Threshold

Python Example

from ultralytics import YOLO

# Load a YOLOv8 model
model = YOLO("yolov8n.pt")

# Run predictions with a custom confidence threshold
results = model.predict(source="path/to/your/image.jpg", conf=0.5)  # Set confidence threshold to 0.5

CLI Example

yolo predict model=yolov8n.pt source=path/to/your/image.jpg conf=0.5

If you encounter any issues or have further questions, please don't hesitate to ask. We're here to help! 😊

from ultralytics.