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README.md
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base_model:
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- Ultralytics/YOLO11
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pipeline_tag: image-segmentation
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base_model:
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- Ultralytics/YOLO11
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pipeline_tag: image-segmentation
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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Segmentation fine tuned model for zebra face detection.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is Yolo11x-seg based fined tuned model
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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Model should be used to segment zebra faces from zebra pictures, which can further be used for classification identification purpose.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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model = YOLO('yolo11xseg-zebra.pt')
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result = model.predict("<image-path>")
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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Dataset here - https://universe.roboflow.com/pixel6/face-t7r4g/dataset/12
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