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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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