{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lesson 14 - Create an image dataset\n", "\n", "> In preparation of lesson 15 we create an image dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/lewtun/dslectures/master?urlpath=lab/tree/notebooks%2Flesson14_image-dataset.ipynb) [![slides](https://img.shields.io/static/v1?label=slides&message=lesson14_image-dataset.pdf&color=blue&logo=Google-drive)](https://drive.google.com/open?id=16cPFIu-tmZ8Op8awMvIiXi-vcMbTmleu)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Learning objectives\n", "In this lecture we will create an image dataset that we can then use in the next lecture to build an image classifier. To get labeled data we will download the images from Google image searches. \n", "\n", "You should learn how to create new dataset, look at examples and save the dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "This lesson prepares for lesson 15 where we will create an image classifier. This content will be similar to the first lesson of the fastai course. If you have time we recommend watching the the lesson recording.\n", "* Practical Deep Learning for Coders - Lesson 1: Image classification by fastai [[video](https://youtu.be/XfoYk_Z5AkI)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Homework\n", "Create at least one image dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Goal\n", "\n", "Before we can create an image classifier we need to create a dataset with training data. We could you one of the standard image datasets but in real life you usually need to be creative to get enough labeled data for your use-case. We will download images from Google search to download images corresponding to a certain category.\n", "\n", "