“Is this loss?”: A TensorFlow Lite app to detect Loss.jpg
I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance, although I expect I could improve the UI a little bit. It's a weird UX, as you want it to be as simple and fast as possible (loss/notloss) but you also want it to have some sort of recognizability. I would love to hear your thoughts.…
“Is this loss?”: A TensorFlow Lite app to detect Loss.jpg launched on April 23, 2018 with 82 votes, #512 of 2,753 launches that month and more than 90% of that year's launches.
In plain words
Is this loss?" is a TensorFlow Lite app that detects whether an image contains Loss.jpg, the famous webcomic panel. Built in Java using TensorFlow Lite with Mobilenets and Bazel, it aims to quickly classify images as either Loss or not Loss. The app was created as a learning project to explore TensorFlow integration and Google Play deployment. The detector performs well, though the interface prioritizes speed and simplicity over elaborate design.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance…
Does a similar job
all alternatives →- SRSource release for “Is this loss? A TFLite app to detect Loss.jpg”2018 · ▲7
https://github.com/eigenloss/isthisloss Original thread: https://news.ycombinator.com/item?id=16907615

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