Comparison of detection (with CNN) quality with color restoration of underwater images and without

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  • FUnIE-GAN

    Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020

  • My diploma's theme has a bit specific application area - sunken technical objects. I have to restorate underwater images. And to prove useability of restoration method for autonomous underwater vechile (AUV) I decided to compare quality of CNN model train with preprocessing and without it. Due to the lack of data I use mirroring by way of augmentation. And to preprocess hundreds of images of images I used this method https://github.com/xahidbuffon/FUnIE-GAN .

  • sunken-object

    Compare quality of binary classification (detection) between natural underwater images and images with restoration

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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