Count
Real-time Shake Shack line counter using machine learning
Count launched on January 30, 2018 with 85 votes, #530 of 3,021 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
What it does
Count is a machine learning company looking to quantify the organic data inside photos, video, and sound. Anybody that has lived in Manhattan understands the dynamics of the Shake Shack line in Madison Square Park. We thought it would be fun to practice our craft quantifying the Shake Shack line in real-time as our first experiment.
* Data courtesy of the CUHK Mall Dataset * Screenshot of decommissioned website Count: Quantified imagery SaaS * Feel free to check out the source code . * Check out part 2: counting people on your iPhone with CoreML . In Union Square, NYC, there’s the always crowded burger spot Shake Shack. A group of us would obsessively check the Shake Cam around lunch to figure out if a bite was worth the wait. Rather than do this manually (come on, it’s nearly 2018), it would be great if this could be done for us. Then, to take that idea further, imagine being able to measure foot traffic on a month to month basis or to measure the impact of a new promotional campaign. Object detection has received a…from blog.dimroc.com
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