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We trained the gaze estimation model with the [Caffe](http://caffe.berkeleyvision.org/) library.
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## Training Data
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The provided pre-trained model was trained on both [MPIIFaceGaze](https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/gaze-based-human-computer-interaction/its-written-all-over-your-face-full-face-appearance-based-gaze-estimation/) and [EYEDIAP (HD videos)](https://www.idiap.ch/dataset/eyediap).
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The provided pre-trained model was trained on both [MPIIFaceGaze](https://perceptualui.org/research/datasets/MPIIFaceGaze/) and [EYEDIAP (HD videos)](https://www.idiap.ch/dataset/eyediap).
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## How to train your own model
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#### Extract face patch
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