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Related Questions
- What are some common biases in image classification models and how do they impact performance?
- Can you explain the concept of data augmentation and how it can be used to debias image classification models?
- How do fairness metrics such as accuracy disparity and equalized odds impact the evaluation of debiasing techniques?
- What are some techniques for collecting and utilizing diverse datasets to reduce biases in image classification models?
- Can you discuss the importance of representation and inclusion in the development and testing of debiasing techniques for image classification models?
- How do adversarial training and regularization techniques impact the robustness and fairness of image classification models?
- What are some challenges and limitations of debiasing image classification models, and how can these be addressed in future research?
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