Punge: Ondevice NSFW Image Detection Using YOLOv11n, CoreML, TensorFlow

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Punge: Ondevice NSFW Image Detection Using YOLOv11n, CoreML, TensorFlow

I built a mobile app called Punge that scans your camera roll for NSFW images—completely on-device. No cloud processing, no login, and no personal data ever leaves your phone. Under the hood: * It's powered by a custom-trained YOLOv11n neural network. * On iOS, all inference runs through CoreML; Android uses TensorFlow Lite. * Processing is fast—about 10–20ms per image on an iPhone 15. * Achieves ~90% confidence in key NSFW categories. * No data is uploaded, and the app doesn’t collect any user info. This started as a privacy-first project to help people clean up their phones before sharing or handing them over. (You’d be surprised what gets forgotten in a camera roll.) If you’re interested in privacy-preserving AI, local inference, or just curious how well this works in practice, I’d love your feedback. iOS: App Store Android: Play Store Demo video: YouTube More info: https://markatlarge.com/

Visit product View on Hacker NewsMay 19, 2025

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nativeThis product was originally launched on this platform.

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