Учебный проект в рамках "Базового интенсива #18" НTML Academy. Проект прошел защиту с рейтингом 100%.
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Updated
Sep 16, 2017 - HTML
Учебный проект в рамках "Базового интенсива #18" НTML Academy. Проект прошел защиту с рейтингом 100%.
This project used Fully Convolutional Network to segment semantic objects in a simulation environment in other to train a drone in following human.
Built a Fully Convolutional Neural Network to identify and track a person with a Drone.
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
Sitio realizado con HTML, CSS y JavaScript
Sitio realizado con HTML, CSS y JavaScript
My first ever refactoring a page. HTML and Stylesheet both greatly consolidated.
[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick
Projects webpage
Primeiro projeto desenvolvido no modo solo dento do curso Explorer da Rocketseat
Projeto de um formulário de mentoria.
A collection of datasets and neural networks for microorganism image classification
Empresa de tragos (fantasía) para el proyecto Trabajo Práctico Obligatorio Codo a Codo 4.0 Fullstack Python- Parte de Front-End.
Helpers for loading, perprocessing and visualizing the SynpickVP dataset for video-based prediciton tasks
Transfer Open Street Maps Markup to Google Maps
The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.
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