Datasets:
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- audio
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- homecam
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- numpy
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---
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## Dataset Overview
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- It has been specifically designed for training and evaluating machine learning models in the context of real-world emergency sound detection and classification tasks.
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- The dataset captures diverse audio scenarios, making it a robust resource for developing safety-focused AI systems, such as the `SilverAssistant` project.
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## Dataset
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- The dataset used for this audio model consists of `.npy` files containing MFCC features extracted from raw audio recordings. These recordings include various real-world scenarios, such as:
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- Criminal activities
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- Violence
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- audio
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- homecam
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- numpy
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viewer: false
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---
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## Dataset Overview
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- It has been specifically designed for training and evaluating machine learning models in the context of real-world emergency sound detection and classification tasks.
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- The dataset captures diverse audio scenarios, making it a robust resource for developing safety-focused AI systems, such as the `SilverAssistant` project.
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## Dataset Descriptions
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- The dataset used for this audio model consists of `.npy` files containing MFCC features extracted from raw audio recordings. These recordings include various real-world scenarios, such as:
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- Criminal activities
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- Violence
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