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Person Classification Leveraging Convolutional Neural Network for Obstacle Avoidance via Unmanned Aerial Vehicles

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Academic year: 2019

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Figure

Fig. 1: First three columns from left are some of the training images in the training set whereby next three are of validationset images
Fig. 4: Comparison of loss between training and validation phase is in (a) while in (b) is the model accuracy upon achievingits convergence
Fig. 5: Some different challenging scenarios tested with good result scored by the classifier

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