DOFOFFICIAL
/

animeGender-dvgg-0.8

@@ -32,11 +32,22 @@ tags:
 ### Important Features
--  Gargantuan Improvement On The Precision:
    An overall 96%+ precision on an external validation dataset, consisting of around 56'000 samples of anime characters that are graphically Similar in style with the training dataset.
    An overall 94%+ precision on an extremely designed stress test dataset, consisting of around 1'200 samples of anime characters that are completely different in style and their genders are hard (but still able) to be identified by nake eyes.
    We firmly believe that this model, powered by magnificent precision with a strong generalization ability, has achieved top ranks among the open-source models, at least on mainstream platforms.
 -  Transgressivability Technique:
    We use a brand new technique invented by our team to manually control the training process, in order to ameliorate the over-fitting and improve the overall performance at the same time.
    This technique can be basically comprehended as a tool to intelligently help the training system to identify the ourliers in our samples, and try to attach it with a lower weight to adjust the gradients when training.
@@ -111,7 +122,7 @@ tags:
 -  New models supremely capable of this task has already been officially released by our team, and please refer links shown below:
--  Version 0.9 is coming soon: https://huggingface.co/DOFOFFICIAL/animeGender-dvgg-0.9.
 Yours,

 ### Important Features
+-  Gargantuan Improvement On Precision:
    An overall 96%+ precision on an external validation dataset, consisting of around 56'000 samples of anime characters that are graphically Similar in style with the training dataset.
    An overall 94%+ precision on an extremely designed stress test dataset, consisting of around 1'200 samples of anime characters that are completely different in style and their genders are hard (but still able) to be identified by nake eyes.
    We firmly believe that this model, powered by magnificent precision with a strong generalization ability, has achieved top ranks among the open-source models, at least on mainstream platforms.
+-  Output with Certainty:
+   Unlike other gender-detective models, especially those with a CONFUSE as one of possible outputs, our models, or, saying that the whole serie of our animeGender models,
+   DO NOT, and WILL NEVER output a vague tag like a CONFUSE, or UNKNOWN.
+   Given that sometimes characters' gender may be actually vague to nake eyes, we will deprecate all of those that genders can not be defined in our training set.
+   Hence, the result of our models show a probability, or saying, a tendency, that a particular gender of a character could have been, merely by the given image, but without any underlying information that could have in a certain background setting.
+-  No Secondary Sexual Characteristics (SSE) Needed:
+   Our models use a completely facial image to identify a character's gender, and only a head, or a face including some hair, is what the input to our models should be.
+   So, when using this series, a full body is not needed, and particularly, please merely use a head instead.
+   Given that most illustrative images naturally have observable characteristics for gender indication, so, we do not use Secondary Sexual Characteristics to interfere, but only facial features.
 -  Transgressivability Technique:
    We use a brand new technique invented by our team to manually control the training process, in order to ameliorate the over-fitting and improve the overall performance at the same time.
    This technique can be basically comprehended as a tool to intelligently help the training system to identify the ourliers in our samples, and try to attach it with a lower weight to adjust the gradients when training.
 -  New models supremely capable of this task has already been officially released by our team, and please refer links shown below:
+-  Version 0.9 is coming soon! Please see: https://huggingface.co/DOFOFFICIAL/animeGender-dvgg-0.9.
 Yours,