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--- |
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license: mit |
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datasets: [your-dataset-name] |
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language: [] |
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metrics: |
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- accuracy: 92.5% |
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- f1-score: 0.89 |
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base_model: yolov8 |
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new_version: "true" |
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pipeline_tag: image-classification |
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library_name: torch |
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tags: |
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- cat-detection |
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- yolov8 |
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- image-classification |
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--- |
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# Varun_cat-model2 |
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This model is a YOLOv8-based object detection model trained to detect cats in images. |
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## Model Details |
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- **Training dataset**: [Your dataset description] |
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- **Evaluation metrics**: Accuracy: 92.5%, F1-Score: 0.89 |
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## Usage |
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You can use this model for detecting cats in images. It works well with a variety of image sizes and is optimized for fast inference. |
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## License |
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This model is licensed under the MIT License. |
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