|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Deep Learning tutorials\n", |
| 8 | + "\n", |
| 9 | + "> This repository contains demonstrations done with deep learning models for computer vision." |
| 10 | + ] |
| 11 | + }, |
| 12 | + { |
| 13 | + "cell_type": "markdown", |
| 14 | + "metadata": {}, |
| 15 | + "source": [ |
| 16 | + "## Content" |
| 17 | + ] |
| 18 | + }, |
| 19 | + { |
| 20 | + "cell_type": "markdown", |
| 21 | + "metadata": {}, |
| 22 | + "source": [ |
| 23 | + "This package/repository is not a library, but a set of tutorials using several libraries with models and utilities for computer vision using deep learning. \n", |
| 24 | + "\n", |
| 25 | + "These tutorials were built in a way that their contents are self-contained, and that they can be used as a basis for other experiments.\n", |
| 26 | + "\n", |
| 27 | + "The tutorials will cover models and tools for semantic segmentation, object detection, image classification, tracking, augmentation, model evaluation, among other topics." |
| 28 | + ] |
| 29 | + }, |
| 30 | + { |
| 31 | + "cell_type": "markdown", |
| 32 | + "metadata": {}, |
| 33 | + "source": [ |
| 34 | + "## Datasets" |
| 35 | + ] |
| 36 | + }, |
| 37 | + { |
| 38 | + "cell_type": "markdown", |
| 39 | + "metadata": {}, |
| 40 | + "source": [ |
| 41 | + "These tutorials are the fruit of different Lapix researchers, who throughout their masters or doctoral degrees developed several computer vision datasets.\n", |
| 42 | + "\n", |
| 43 | + "Therefore, these tutorials were created from experiments using the following datasets:" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "markdown", |
| 48 | + "metadata": {}, |
| 49 | + "source": [ |
| 50 | + "1. [CCAgT: Images of Cervical Cells with AgNOR Stain Technique](https://doi.org/10.17632/wg4bpm33hj.2) \n", |
| 51 | + "1. [Clouds-1000](https://doi.org/10.17632/4pw8vfsnpx.2)\n", |
| 52 | + "1. [UFSC OCPap: Papanicolaou Stained Oral Cytology Dataset (v4)](https://doi.org/10.17632/dr7ydy9xbk.1)" |
| 53 | + ] |
| 54 | + }, |
| 55 | + { |
| 56 | + "cell_type": "markdown", |
| 57 | + "metadata": {}, |
| 58 | + "source": [ |
| 59 | + "## Authors" |
| 60 | + ] |
| 61 | + }, |
| 62 | + { |
| 63 | + "cell_type": "markdown", |
| 64 | + "metadata": {}, |
| 65 | + "source": [ |
| 66 | + "| Name | GitHub | Orcid |\n", |
| 67 | + "| :--------------------------: | ---------------------------------------- | ------------------------------------------------------------ |\n", |
| 68 | + "| Aldo von Wangenheim | [@awangenh](https://github.com/awangenh) | [0000-0003-4532-1417](https://orcid.org/0000-0003-4532-1417) |\n", |
| 69 | + "| João Gustavo Atkinson Amorim | [@johnnv1](http://github.com/johnnv1) | [0000-0003-3361-6891](https://orcid.org/0000-0003-3361-6891) |\n", |
| 70 | + "| | | |\n" |
| 71 | + ] |
| 72 | + } |
| 73 | + ], |
| 74 | + "metadata": { |
| 75 | + "kernelspec": { |
| 76 | + "display_name": "Python 3.8.10 ('venv': venv)", |
| 77 | + "language": "python", |
| 78 | + "name": "python3" |
| 79 | + }, |
| 80 | + "language_info": { |
| 81 | + "name": "python", |
| 82 | + "version": "3.8.10" |
| 83 | + }, |
| 84 | + "vscode": { |
| 85 | + "interpreter": { |
| 86 | + "hash": "14fc90b036d17ab8931f0afc7b06851673501038f7e6077c614cdf5f462d6df3" |
| 87 | + } |
| 88 | + } |
| 89 | + }, |
| 90 | + "nbformat": 4, |
| 91 | + "nbformat_minor": 4 |
| 92 | +} |
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