
Mmi Dataset Download Form


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People also ask
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What is the Fer2013 dataset?
Fer2013 dataset is a common dataset used for facial expression recognition. The dataset contains 35,887 grayscale facial images containing 7 different emotions (anger, disgust, fear, happiness, neutral, sad, and surprise). VGG19 is a deep learning model known as the Convolutional Neural Network (CNN) architecture.
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How big is the Fer 2013 dataset?
FER2013 (Facial Expression Recognition 2013 Dataset) Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral.
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How can I download a dataset?
How to Download Project Datasets Navigate to your project and click File > Open. Navigate to the folder where the datasets are stored. Select the datasets you need and click Download.
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How accurate is the FER2013?
FER2013 Dataset It is one of the more challenging datasets with human-level accuracy only at 65±5% and the highest performing published works achieving 75.2% test accuracy.
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What is the meaning of SDTM dataset?
SDTM (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).
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What is the VS13 dataset?
The VS13 dataset, which contains 400 audio-video recordings of 13 different vehicles, is used for training and testing of the proposed model.
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