How to Use
To use this model in your project, follow the steps below:
1. Installation
Ensure you have the ultralytics library installed, which is used for YOLO models:
pip install ultralytics
# class
with_mask
without_mask
2. Load the Model
You can load the model and perform detection on an image as follows:
from ultralytics import YOLO
# Load the model
model = YOLO("./mask-11x-224.pt")
# Perform detection on an image
results = model("image.png", imgsz=224)
# Display or process the results
results.show() # This will display the image with detected objects
3. Model Inference
The results object contains bounding boxes, labels (e.g., numbers or operators), and confidence scores for each detected object.
Access them like this:
# View results
for r in results:
print(r.probs) # print the Probs object containing the detected class probabilities
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Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support ultralytics models with pipeline type image-classification