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README.md
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- [Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual Labeling Efforts and Maximize Classification Performance](https://ieeexplore.ieee.org/abstract/document/10222106)
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- [Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach](https://arxiv.org/abs/2408.10414)
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##
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```python
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from tensorflow.keras.models import load_model
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- [Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual Labeling Efforts and Maximize Classification Performance](https://ieeexplore.ieee.org/abstract/document/10222106)
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- [Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach](https://arxiv.org/abs/2408.10414)
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## Dataset
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- Dataset Name: Human Decomposition Dataset
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- Source: The dataset used in this study was obtained from the Forensic Anthropology Center (FAC) at the University of Tennessee, Knoxville, but due to privacy considerations, it is not available for public access. Please reach out to obtain access.
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- Classes: fresh (1), early decay (2), advanced decay (3), and skeletonized (4) based on [Megyesi et al's](https://pubmed.ncbi.nlm.nih.gov/15932096/) scoring method.
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## Usage
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The stage of decay classification is bodypart specific (i.e., head, torso, or limbs), so make sure to pick the correct model.
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```python
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from tensorflow.keras.models import load_model
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