Discover and read the best of Twitter Threads about #nsfwjs

Most recents (1)

#NSFWJS has several models to chose from, and the 90% accuracy model loses accuracy in a specific way.

Because sometimes it's better to flag things and be wrong, rather than the alternative. NSFWJS incorrectly identifying an image class.
These errors are "false positives" and are called "Type 1 Errors".

In some cases a type 1 error is preferred. The 90% mobilenet model might seem silly when it makes this mistake, but due to the nature of NSFW content, it's important. Type 1 error meme
Type 2 Errors are the opposite.

It's actually an interesting aspect of #MachineLearning that you need to consider.

Do you hold accuracy over everything? Or do you sacrifice accuracy to limit a specific type of error? In NSFWJS it's important that you have options. Full type 1 and type 2 error meme
Read 6 tweets

Related hashtags

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!