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@@ -42,7 +42,7 @@ The model uses the pyronear/pyro-sdis dataset:
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  ## Performance
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  ### Metrics
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- - **Accuracy**: ~12.5% (random chance with 8 classes)
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  - **Environmental Impact**:
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  - Emissions tracked in gCO2eq
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  - Energy consumption tracked in Wh
@@ -60,15 +60,7 @@ Environmental impact is tracked using CodeCarbon, measuring:
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  This tracking helps establish a baseline for the environmental impact of model deployment and inference.
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  ## Limitations
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- - Makes completely random predictions
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- - No learning or pattern recognition
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- - No consideration of input text
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- - Serves only as a baseline reference
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- - Not suitable for any real-world applications
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- ## Ethical Considerations
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-
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- - Dataset contains sensitive topics related to climate disinformation
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- - Model makes random predictions and should not be used for actual classification
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- - Environmental impact is tracked to promote awareness of AI's carbon footprint
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  ```
 
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  ## Performance
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  ### Metrics
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+ - **Accuracy**: ~83%
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  - **Environmental Impact**:
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  - Emissions tracked in gCO2eq
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  - Energy consumption tracked in Wh
 
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  This tracking helps establish a baseline for the environmental impact of model deployment and inference.
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  ## Limitations
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+ - It may fail to generalize to night scenes or foggy settings
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+ - It is subject to false detections, especially at low confidence thresholds
 
 
 
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  ```