Is AI Creating Dangerous Fake Images? Our Image Classifier API Has the Solution!

Skymel — Sun, 02 Apr 2023 18:38:57 +0000

Are you tired of scrolling through social media and wondering whether that image is real or just a product of some clever AI algorithm? Do you sometimes find yourself getting fooled by fake news stories that feature convincing but entirely fabricated images?

Well, we have some good news for you - our artificial image classifier API is here to help. With our AI-powered tool, you can easily determine whether an image is real or generated by AI, saving you from being fooled by those sneaky digital creations.

We developed this tool because we believe that misinformation and manipulation can have serious consequences, and it's important to have tools that help identify and prevent the spread of fake images. By providing an easy and reliable way to distinguish between real and AI-generated images, we hope to help individuals and businesses make informed decisions based on accurate information.

Now, we have to be honest with you - our artificial image classifier API is not perfect, and it still has room for improvement. In fact, we recently discovered that its accuracy was lacking when it came to classifying some mid-journey images.

But don't worry, we're already hard at work training a new and improved version of our API that will provide even better accuracy. We believe that with the right training and development, we can continue to improve our image classifier API and help individuals and businesses better identify whether an image is real or generated by AI.

We want to be transparent about our API's limitations and our efforts to address them, because we believe that honesty and openness are essential for building trust with our users. We're committed to making our image classifier API the best it can be, and we hope that you'll join us on this journey.

So, if you're ready to join the fight against fake news and AI-generated images, try out our artificial image classifier API today. We're confident that it will help you make more informed decisions based on accurate information, and we're excited to continue improving it for the future.

Github Wiki : https://github.com/privacy-ai/unsafe-or-fake-image-classifier/wiki/Fake-Image-Classifier

Send us your feedback at contactus@skymel.com

NSFW Image Moderation API for Generative and Virtual Images: A Quick Guide for Developers

Skymel — Sat, 25 Mar 2023 20:40:24 +0000

As developers and programmers, we know that image moderation can be a challenging task, especially when it comes to generative and virtual images. That's why we're excited to introduce our new NSFW Image Moderation API, designed specifically for developers working with generative and virtual images.

Visit : https://skymel.com/api-services.html

Overview

Our NSFW Image Moderation API uses advanced machine learning algorithms to analyze images and determine whether they contain NSFW content. It is especially effective for generative and virtual images, which can be particularly challenging to moderate due to their unique characteristics.

The API takes an image as input and returns a binary classification label indicating whether the image is safe or not safe for work.

Examples

Image Anime

response Image Anime

{
  "error_code": 0,
  "predictions": {
    "appearance_clothing_swimwear_bikini": 0.89,
    "artificial-images": 0.98,
    "artificial-images_fictional-characters-shows": 0.59,
    "artificial-images_hentai": 0.59,
    "composition_one_entity": 0.56,
    "composition_one_female": 0.62,
    "unsafe": 0.85
  }
}

Image Female

response Image Female

{
  "error_code": 0,
  "predictions": {
    "appearance_clothing_swimwear_bikini": 1.0,
    "body-parts_lower-body_genitalia_vulva_covered": 0.61,
    "body-parts_upper-body_breasts_covered": 0.59,
    "unsafe": 1.0
  }
}

Image Male

response Image Male

{
  "error_code": 0,
  "predictions": {
    "appearance_clothing_topless_male": 0.61,
    "body-parts_head_lips-mouth": 0.73,
    "body-parts_upper-body_breasts_male": 0.76,
    "body-parts_upper-body_breasts_partially_or_completely_exposed": 0.99,
    "body-parts_upper-body_midriff_male": 0.66,
    "unsafe": 0.98
  }
}

Image Cute Couples

response Image Cute Couples

{
  "error_code": 0,
  "predictions": {
    "body-parts_head_lips-mouth": 0.67,
    "safe": 0.84
  }
}

Usage

To use the NSFW Classifier API in your application, you can send a POST request to the API endpoint with the base64 encoded image data as the payload. The API will return a JSON response with the classification label.
Here's an example Python script that demonstrates how to use the NSFW Classifier API:

python

import base64
import json

import requests

image_url = "https://e7.pngegg.com/pngimages/856/913/png-clipart-female-character-illustration-character-youtube-animated-film-infant-youtube-child-black-hair-thumbnail.png"

encoded_image = base64.b64encode(requests.get(image_url).content).decode('utf-8')

url = 'https://modelpubsub.com/api-v1.0/SafeUnsafeImageWithTags'
data = {
    'api_key': 'test_image_devto',
    'base64_image': encoded_image
}
try:
    response = requests.request("POST", url, data=json.dumps(data))
except requests.exceptions.ConnectionError as _:
    response = None

if response is not None:
    print(response.content)

Payload

The payload for the NSFW Classifier API should be a base64 encoded image data. example:

{
    'api_key': 'test_image_devto',
    'base64_image': encoded_image
}

Response

The response from the NSFW Classifier API is a JSON object with the following fields:

label: **A binary classification label indicating whether the image is safe or not safe for work. Possible values are 0 for safe and 1 for not safe.
**score: A confidence score for the classification, ranging from 0 to 1. Higher scores indicate greater confidence in the classification.
Authentication
The NSFW Classifier API requires authentication using an API key. To obtain an API key, please contact our support team at contactus@skymel.com.

Available Labels:

The NSFW image classifier produces a probability score for each label it has been trained to detect as its output. In our image classifier, the probability scores are provided for the following labels.

'safe',
'unsafe',
'appearance_appearance-modification',
'appearance_appearance-modification_piercings',
'appearance_appearance-modification_tattoos',
'appearance_clothing',
'appearance_clothing_bodyparts-through-clothes',
'appearance_clothing_bottomless',
'appearance_clothing_bottomless_female',
'appearance_clothing_clothed-naked-pair',
'appearance_clothing_dresses',
'appearance_clothing_nsfw',
'appearance_clothing_open_shirt',
'appearance_clothing_shoes',
'appearance_clothing_shoes_high-heels',
'appearance_clothing_sportswear',
'appearance_clothing_stockings',
'appearance_clothing_swimwear',
'appearance_clothing_swimwear_bikini',
'appearance_clothing_swimwear_bikini_bottom',
'appearance_clothing_swimwear_bikini_top',
'appearance_clothing_swimwear_extreme',
'appearance_clothing_swimwear_microbikini',
'appearance_clothing_swimwear_one-piece',
'appearance_clothing_tight-clothing',
'appearance_clothing_tight-clothing_labia_outline',
'appearance_clothing_topless_female',
'appearance_clothing_topless_male',
'appearance_clothing_transparent',
'appearance_clothing_underwear',
'appearance_clothing_underwear_brassiere',
'appearance_clothing_underwear_garter-belt',
'appearance_clothing_underwear_lingerie',
'appearance_clothing_underwear_panties',
'appearance_clothing_underwear_thongs',
'appearance_clothing_undressed',
'appearance_clothing_uniforms-outfits',
'appearance_clothing_uniforms-outfits_cosplay',
'appearance_clothing_upskirt',
'appearance_clothing_upskirt-downblouse',
'appearance_expressions',
'appearance_nude',
'appearance_pose',
'appearance_pose_lifting_shirt',
'appearance_pose_pulling_panties',
'appearance_pose_spread_legs',
'artificial-images',
'artificial-images_fictional-characters-shows',
'artificial-images_hentai',
'artificial-images_photoshop',
'body-parts_head_hair',
'body-parts_head_hair_black',
'body-parts_head_hair_blonde',
'body-parts_head_hair_brunette',
'body-parts_head_hair_dyed',
'body-parts_head_hair_hairstyle',
'body-parts_head_hair_redhead',
'body-parts_head_lips-mouth',
'body-parts_lower-body',
'body-parts_lower-body_ass',
'body-parts_lower-body_ass_covered',
'body-parts_lower-body_ass_exposed',
'body-parts_lower-body_ass_exposed_female',
'body-parts_lower-body_ass_large',
'body-parts_lower-body_asshole',
'body-parts_lower-body_feet',
'body-parts_lower-body_feet_covered',
'body-parts_lower-body_gap',
'body-parts_lower-body_genitalia_penis',
'body-parts_lower-body_genitalia_vulva',
'body-parts_lower-body_genitalia_vulva_covered',
'body-parts_lower-body_genitalia_vulva_hair',
'body-parts_lower-body_genitalia_vulva_labia',
'body-parts_lower-body_hips',
'body-parts_lower-body_labia',
'body-parts_lower-body_legs',
'body-parts_lower-body_mons-pubis',
'body-parts_lower-body_pubic_hair',
'body-parts_lower-body_scrotum',
'body-parts_lower-body_thighs',
'body-parts_upper-body',
'body-parts_upper-body_arm-pits',
'body-parts_upper-body_breasts',
'body-parts_upper-body_breasts_cleavage',
'body-parts_upper-body_breasts_covered',
'body-parts_upper-body_breasts_covered_by_hands',
'body-parts_upper-body_breasts_from-an-angle',
'body-parts_upper-body_breasts_from_below',
'body-parts_upper-body_breasts_from_side',
'body-parts_upper-body_breasts_implants',
'body-parts_upper-body_breasts_large',
'body-parts_upper-body_breasts_male',
'body-parts_upper-body_breasts_nipples',
'body-parts_upper-body_breasts_small',
'body-parts_upper-body_midriff',
'body-parts_upper-body_midriff_female',
'body-parts_upper-body_midriff_male',
'body-parts_upper-body_navel',
'body-parts_upper-body_navel_female',
'composition_multiple_females',
'composition_multiple_males',
'composition_one_entity',
'composition_one_female',
'composition_one_male',
'composition_three_females',
'composition_two_females',
'composition_two_males',
'fetish',
'fetish_bdsm',
'fetish_bdsm_bondage',
'fetish_bdsm_domination-&-submission',
'fetish_bdsm_domination-&-submission_femdom',
'fetish_drugs',
'fetish_role-enactment',
'fetish_role-enactment_age-play',
'fetish_role-enactment_furry',
'fetish_role-enactment_pet-play',
'fetish_role-enactment_rape-abuse',
'fetish_watersports',
'general-categories',
'general-categories_artistic-or-borderline-porn',
'general-categories_desktop-wallpaper',
'general-categories_gifs',
'general-categories_humorous',
'general-categories_p.o.v.',
'general-categories_passionate',
'general-categories_videos',
'locations_man-made',
'locations_nature',
'locations_nature_beach',
'one_female_face',
'one_male_face',
'specific-actor-actress',
'specific-company',
'three_female_faces',
'three_male_faces',
'two_female_faces',
'two_male_faces',
'weapons',
'weapons_guns',

We hope this developer wiki helps you integrate the NSFW Classifier API into your application. Thank you for choosing our API!

DEV Community: Skymel