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Segmentation fine tuned model for zebra face detection.
Model Details
Model Description
This is Yolo11x-seg based fined tuned model
1) Face Annotated Dataset in YOLO format is used to train YOLO model for face detection
2) Trained model is used to crop the face out of all images from classification folder structure dataset.
3) Generated classification dataset is manullay reviewed to remove any false detections from datatset.
4) New dataset is used for training MobilenNet / Yolo-cls models using fine tuning and transfer learning.
5) Fine tuned model is used to indentify the new / test images.
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Finetuned from model [optional]: [More Information Needed]
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Uses
Direct Use
Model should be used to segment zebra faces from zebra pictures, which can further be used for classification identification purpose.
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
