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Problem description:
I am facing a problem when using the nsfwjs library on images taken with the device's camera. I'm using the Inception V3 model, which is the most accurate I've found. The library works well when the photos are of good quality and nudity detection occurs correctly. However, when taking a photo of an image with adult content using the cell phone camera and testing on nsfwjs.com, the image is treated as neutral.
Steps to Reproduce the Problem:
Go to nsfwjs.com and load the Inception V3 template
Upload a good quality photo that contains adult content.
Note that the library identifies correctly.
Take a photo of the previous image with your cell phone camera and upload it again to the website.
Note that the library erroneously classifies content as "neutral" even when it is clearly inappropriate.
Expected behavior:
The library must be able to correctly identify pornographic content and classify it as inappropriate, regardless of image quality.
Thank you for your attention and support in resolving this issue.
The text was updated successfully, but these errors were encountered:
Problem description:
I am facing a problem when using the nsfwjs library on images taken with the device's camera. I'm using the Inception V3 model, which is the most accurate I've found. The library works well when the photos are of good quality and nudity detection occurs correctly. However, when taking a photo of an image with adult content using the cell phone camera and testing on nsfwjs.com, the image is treated as neutral.
Steps to Reproduce the Problem:
Go to nsfwjs.com and load the Inception V3 template
Upload a good quality photo that contains adult content.
Note that the library identifies correctly.
Take a photo of the previous image with your cell phone camera and upload it again to the website.
Note that the library erroneously classifies content as "neutral" even when it is clearly inappropriate.
Expected behavior:
The library must be able to correctly identify pornographic content and classify it as inappropriate, regardless of image quality.
Thank you for your attention and support in resolving this issue.
The text was updated successfully, but these errors were encountered: