wah. 21.
Suggestive at times
| Site (WIP) | http://pawgge.rs |
| https://twitter.com/zenithO_o | |
| Pronouns | He/Him |
| Shiny ✨🔞 | https://rubber.social/@zenith |
Hey everyone! I got a new project to share. I made a tool that can tag furry artwork!
Show me below the results you get! :3
Also, to help support run the website, I would greatly appreciate ko-fi tips :)
If you would like to try it out, I have spent some time working on a website for you to use. It is what you see in the screenshots above.
Here is the link!:
https://pawgge.rs/
It has a total of 228 possible tags, all based off of e621's tagging scheme. It's categories are Rating, Species, and General tags.
It is also capable of tagging things like gender identity, body parts, clothing, and actions taking place within the image!
Hey everyone! I got a new project to share. I made a tool that can tag furry artwork!
Show me below the results you get! :3
Fantasy: Being able to double-team teasing someone with @zenith
Like, I tell Zenith that I want to tease someone, and bring them up to the room. We are both wearing latex/masks/etc...
So we go up to them and I start:
"I know you draw all this hot art- but how much of it you actually experience?"
Zenith goes: "We could put a collar on you right now, and pull you up to our room"
I go: "We have plenty of gear to get you all helpless"
(And we just keep going back and forth, teasing them)
I did a thing! :D
Currently working on a model to label furry artwork, based off the e621 tagging system. It labels 6 different categories: Identity, Species, Body, Clothing, Action, and Rating.
These results are after only one epoch of training on my dataset and was the preliminary test run to see if this would even work. It does 👀👀👀
Here is the architecture of the model. I start with a pre-trained CNN classifier as the base model, and then have multiple prediction heads for each category.
Every parameter is finetuned during training, meaning that the final output layer of the CNN model (the KerasLayer with an output of 1000) serves as a feature vector specifically for furry artwork.
Each prediction head also has a small fully connected Dense layer for category specific labels.
I did a thing! :D
Currently working on a model to label furry artwork, based off the e621 tagging system. It labels 6 different categories: Identity, Species, Body, Clothing, Action, and Rating.
These results are after only one epoch of training on my dataset and was the preliminary test run to see if this would even work. It does 👀👀👀
Nican