
I did not want to have to open my browser or utilize browser extensions to download the image files from my search. Instead, I was looking for a solution that would enable me to programmatically download images via a query. In a previous blog post, you’ll remember that I demonstrated how you can scrape Google Images to build your own dataset - the problem here is that it’s a tedious, manual process. In order to build our deep learning image dataset, we are going to utilize Microsoft’s Bing Image Search API, which is part of Microsoft’s Cognitive Services used to bring AI to vision, speech, text, and more to apps and software. Looking for the source code to this post? Jump Right To The Downloads Section How to (quickly) build a deep learning image dataset To get started using the Bing Image Search API to build an image dataset for deep learning, just keep reading.


You can think of the Pokedex as a “Pokemon Encyclopedia” of sorts. You see, in the very first episode of the show (and in the first few minutes of the game), the protagonist, Ash Ketchum, was given a special electronic device called a Pokedex.Ī Pokedex is used to catalogue and provide information regarding species of Pokemon encounters Ash along his travels. Pokemon made a lasting impression on me - and looking back, Pokemon may have even inspired me to study computer vision. If it involved Pokemon, I was probably interested in it. I collected the trading cards, played the Game Boy games, and watched the TV show. When I was a kid, I was a huge Pokemon nerd. Click here to download the source code to this postĪn example of a Pokedex (thank you to Game Trader USA for the Pokedex template!)
