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  ### animeGender-dvgg-0.8
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- - A cutting edge lightweight model set for animation character gender classification.
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  - Updated info: This model is a derivative, as well as an advanced version of our previous classificational model animeGender-dvgg-0.7, with new features and capabilities described below.
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  Different from the previous version, for this generation, we have silumtaneously released two different types of this animeGender-dvgg-0.8 model series, namely animeGender-dvgg-0.8-alpha and animeGender-dvgg-0.8-beta. Differences are shown in the first chart below and they are generally designed for varied use.
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  Please note that in the future, we are going to structure a specially designed model rather than using the extant model structures, and hopefully to achieve a advanced performance.
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  When it comes to the model selecting creterion, here's a reference that gives some advice:
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  ### Technical Details
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  ### Results and Rankings
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  - Here is a comprehensive table depicting the results and rankings of our model.
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  ### Examples
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  - Here are some sample-exteral tests that are conducted by our staff with the corresponding results shown below. Note that we use the same legacy demonstration set as we did in the previous version to show the performance and output of out model, and here is a graph illustrating it.
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-
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  - Here is a consice graph showing the performance of different models, including those are proposed in this repo, and a previous version 0.8.
 
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  - Note that when you normally use this model, the performance basically lies in the range of our Stress Test and Validation.
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  ### animeGender-dvgg-0.8
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+ - A cutting edge lightweight model set for animation characters' gender classification.
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  - Updated info: This model is a derivative, as well as an advanced version of our previous classificational model animeGender-dvgg-0.7, with new features and capabilities described below.
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  Different from the previous version, for this generation, we have silumtaneously released two different types of this animeGender-dvgg-0.8 model series, namely animeGender-dvgg-0.8-alpha and animeGender-dvgg-0.8-beta. Differences are shown in the first chart below and they are generally designed for varied use.
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  Please note that in the future, we are going to structure a specially designed model rather than using the extant model structures, and hopefully to achieve a advanced performance.
52
  When it comes to the model selecting creterion, here's a reference that gives some advice:
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+ ![dvgg08-1.png](https://cdn-uploads.huggingface.co/production/uploads/637a0b3f3f8f451d6bd1fd6d/8M-h04-MsrdzB0bG3MOXU.png)
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  ### Technical Details
 
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  ### Results and Rankings
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  - Here is a comprehensive table depicting the results and rankings of our model.
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+ ![dvgg08-2.png](https://cdn-uploads.huggingface.co/production/uploads/637a0b3f3f8f451d6bd1fd6d/TcnZujr1FCBlgjGOUHE4L.png)
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  ### Examples
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  - Here are some sample-exteral tests that are conducted by our staff with the corresponding results shown below. Note that we use the same legacy demonstration set as we did in the previous version to show the performance and output of out model, and here is a graph illustrating it.
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+ ![dvgg08-3.png](https://cdn-uploads.huggingface.co/production/uploads/637a0b3f3f8f451d6bd1fd6d/BxTQ09QyAU3ijmCRQfdZb.png)
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  - Here is a consice graph showing the performance of different models, including those are proposed in this repo, and a previous version 0.8.
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+ ![dvgg08-4.png](https://cdn-uploads.huggingface.co/production/uploads/637a0b3f3f8f451d6bd1fd6d/yIXu2noKn271ZJKIZMcJ3.png)
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  - Note that when you normally use this model, the performance basically lies in the range of our Stress Test and Validation.
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