Implementation of Hot Dog or not app from Silicon Valley (CNN to identify if the given picture is a hot dog or not)
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Updated
Jun 5, 2017 - Python
Implementation of Hot Dog or not app from Silicon Valley (CNN to identify if the given picture is a hot dog or not)
Another version of 'Not Hotdog' in Silicon Valley.
🍏 Uses machine learning to verify if a food is "Healthy" or "Junk"
Personal implementation of HBO Silicon Valley's app Hotdog or Not Hotdog
stuff
🌭 Not Hot Dog App using Nodejs + Express, Vision API (Microsoft Azure), VanillaJS
Built with TensorFlow, Yolov2 Tiny and React Native | Flutter | Javascript
Copy cat of the famous HBO’s Silicon Valley app but for Geocaching Groundspeak Travel Bug®
Deep Learning for computer vision using PyTorch
Hotdog or not Hotdog image classification, using convolutional neural networks. Built with TensorFlow, Keras, Sklearn and Angular.
Worse thing than Jin Yang's hotdog-not-hotdog app!!
An image classification machine learning model that recognizes hot dogs.
Detecting Sourcegraph logo with OpenCV
🌭 What would you say if I told you there is a sketch plugin on the market that tell you if your sketch layer is a hotdog or not a hotdog. It is very good and I do not want to work on it any more. You can hire someone else.
In this notebook I will try to recreate a curious model used in an App shown in the HBO serie "Sillicon Valley".
Image classification application that uses deep learning to determine whether an image contains a hotdog or not.
This project uses the Hugging Face API to detect whether an image contains a hot dog or not.
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