MonoDepth-PyTorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch. The network is designed to produce high quality depth predictions from a single image after learning from a training dataset of stereo images.

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Kaggle Ship Detection Challenge Solution

This project was an entry for the Airbus Ship Detection Challenge held on Kaggle. It implemets all steps of the solution: from assembling datasets to training the neural network and submitting the final file. The developed functionality can be used as a universal high-quality baseline solution for any segmentation task.

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Semantic Segmentation with MobileNet v3

Customizable, module based implementation of MobileNetV3 in Tensorflow (and TensorflowLite). This architecture may be used for semantic segmentation as well as for classification.

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Semantic Segmentation of Seismic Reflection

Deep learning based semantic segmentation of reflection seismology images for salt deposits recognition.

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