yolo11-ko-face-emotion-cls

17
1 language
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by
leeyunjai
Image Model
OTHER
New
17 downloads
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Quick Summary

To use this model in your project, follow the steps below: Ensure you have the `ultralytics` library installed, which is used for YOLO models: You can load th...

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
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classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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
classspython
from ultralytics import YOLO

# Load the model
model = YOLO("./yolo11x-face-emotion.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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