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Lightweight Nudity Detection In-Browser
Lightweight Nudity Detection In-Browser
NudeNet v3 is built on yolov8 and features a model for lightweight exposed part detection in python and in-browser via onnxruntime.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on BetaList, based on ML models trained on real launch data.
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
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