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Detecting Falsehood in Courtroom Trials using Deep Learning

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Deception-Detection

Detecting Falsehood in Courtroom Trials using Deep Learning

Dataset Used: Real life trial data collected during a series of experiments at Michigan (http://web.eecs.umich.edu/~zmohamed/PDFs/Trial.ICMI.pdf)

The dataset can be downloaded by requesting the authors https://web.eecs.umich.edu/~mihalcea/index.html

To download/test a sample video form Real Life Trial Data, a sample video is present with name trial_lie_026.mp4.

Step 1

pip install -r requirements.txt

For inference

Put the path of video in the predict.py file and run

python predict.py

For Training the Bag_of_Lies Data

1- Put the dataset in the root directory of your project

2- python clean.py

3- python train.py

Models

Pretrained models are available in Models Folder

Accuracy, Precision, Recall Analysis

Run the custom files in Notebooks Folder

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