yolo11-firedetect

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by
leeyunjai
Image Model
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71 downloads
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Quick Summary

This repository contains a PyTorch-exported model for detecting fire and smoke using the YOLO11s architecture.

Code Examples

How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
How to Usebash
pip install ultralytics
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects
2. Load the Modelpython
from ultralytics import YOLO

# Load the model
model = YOLO("./firedetect-11s.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects

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