Vladimir Iglovikov

TernausNetV2: Fully Convolutional Network for Instance Segmentation

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Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

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Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

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UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

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Code for binary segmentation of cloths

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The remake of the https://github.com/biubug6/Pytorch_Retinaface

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Model to check if image was rotated by 90, 180, 270 degrees.

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Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

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Code for the model to segment people at the image

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Library for converting from RGB / GrayScale image to base64 and back.

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