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In this section, I’ll provide a short walkthrough of how to get your (free) Bing Image Search API account. In the remainder of today’s blog post, I’ll be demonstrating how we can leverage the Bing Image Search API to quickly build an image dataset suitable for deep learning. It also includes a free 30-day trial as well, after which the API seems reasonably priced (I haven’t converted to a paying customer yet but I probably will given the pleasant experience). The results were relevant and the API was easy to consume. Many years ago Google deprecated its own image search API (which is the reason we need to scrape Google Images in the first place).Ī few months ago I decided to give Microsoft’s Bing Image Search API a try. 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.
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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. And finally, we’ll use our trained Keras model and deploy it to an iPhone app (or at the very least a Raspberry Pi - I’m still working out the kinks in the iPhone deployment).īy the end of the series we’ll have a fully functioning Pokedex!.
Next week, I’ll demonstrate how to implement and train a CNN using Keras to recognize each Pokemon.We’ll start today by using the Bing Image Search API to (easily) build our image dataset of Pokemon.In this three-part blog post series we’re going to build our very own Pokedex: And then the app automatically identifies the PokemonĪs a kid, I always thought the Pokedex was so cool….
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We can imagine a similar app on our iPhone or Android today, where: In essence, the Pokedex was acting like a smartphone app that utilized computer vision!
When stumbling upon a new species of Pokemon Ash had not seen before, he would hold the Pokedex up to the Pokemon and then the Pokedex would automatically identify it for him, presumably via some sort of camera sensor (similar to the image at the top of this post). 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!)
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