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rj.singh
Mixing passions for data science, food, fashion, and basketball
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4 28th July ...
4 28th July ...

rjps2015:

This is what happens when a sneaker enthusiast stumbles across convolutional neural networks.  I wanted to make a tool that helps users identify cool sneakers they see in public, like Shazam does for songs.  

This app, “Shoezam” (temporary title) uses the Xception CNN architecture to classify images across 15 different styles of Jordan and Adidas shoes, as well as images that are not a shoe. The concept can be extended to broader fashion categories, and extended with all kinds of bells and whistles to do things like pinpoint colorways, find the best prices on the shoe in question, and suggest similar styles.  

Links to the app coming soon - for now, enjoy this demo!

(via rjps2015)

37 28th July ...

buzzfeedtasty:

kawastrong:

buzzfeedtasty:

Mujadara (Lentils And Rice With Caramelized Onions)

might try this…what can i substitute that yogurt for though if I’m doing it vegan style??????

You can just skip the yogurt if you want this to be vegan, or you could replace it with a vegan yogurt substitute (they’re usually soy or coconut milk based!)

(via buzzfeedtasty)

6356 13th April ...
2926 13th April ...

rjps2015:

This is what happens when a sneaker enthusiast stumbles across convolutional neural networks.  I wanted to make a tool that helps users identify cool sneakers they see in public, like Shazam does for songs.  

This app, “Shoezam” (temporary title) uses the Xception CNN architecture to classify images across 15 different styles of Jordan and Adidas shoes, as well as images that are not a shoe. The concept can be extended to broader fashion categories, and extended with all kinds of bells and whistles to do things like pinpoint colorways, find the best prices on the shoe in question, and suggest similar styles.  

Links to the app coming soon - for now, enjoy this demo!

37 13th April ...

This is what happens when a sneaker enthusiast stumbles across convolutional neural networks.  I wanted to make a tool that helps users identify cool sneakers they see in public, like Shazam does for songs.  

This app, “Shoezam” (temporary title) uses the Xception CNN architecture to classify images across 15 different styles of Jordan and Adidas shoes, as well as images that are not a shoe. The concept can be extended to broader fashion categories, and extended with all kinds of bells and whistles to do things like pinpoint colorways, find the best prices on the shoe in question, and suggest similar styles.  

Links to the app coming soon - for now, enjoy this demo!

37 24th January ...
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