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- Optimizer: AdamW
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- Epochs: 20
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- Model Performance: Achieved an accuracy of 96.23% on all of the kinds of Food Image Classification Dataset
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### Dataset Card
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- Dataset Name: 'Food Image Classification Dataset'
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- Dataset Size: 24K unique images
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- Dataset Description: 35 varieties of both Indian and Western appetizers
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- Dataset Source: The unique images obtained from various Google resources by Kaggle user Harish Kumar
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- Dataset License: CC0: Public Domain
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- Dataset Quality:
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- Meticulously curated images ensuring diversity and representativeness
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- Provides a solid foundation for developing robust and precise image classification algorithms
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- Encourages exploration in the fascinating field of food image classification)
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- Expected Update Frequency: Quarterly
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- Optimizer: AdamW
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- Epochs: 20
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- Model Performance: Achieved an accuracy of 96.23% on all of the kinds of Food Image Classification Dataset
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