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README.md
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---
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language: en
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license: mit
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tags:
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- image-classification
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- anime
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- pytorch
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- safetensors
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- multi-class
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framework: pytorch
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library_name: torchvision
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pipeline_tag: image-classification
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model-index:
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- name: anime-style-classifier-efficientnet-b0
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base_model:
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- google/efficientnet-b0
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results:
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- task:
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type: image-classification
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dataset:
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name: synthetic-anime-scenes
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type: synthetic
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9818
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- name: Macro F1
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type: f1
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value: 0.9879
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source:
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name: Repository
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url: https://github.com/Mitchins/anime-style-classifier-efficientnet-b0
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- task:
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type: image-classification
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dataset:
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name: synthetic-anime-scenes
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type: synthetic
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1.0
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- name: Macro F1
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type: f1
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value: 1.0
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source:
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name: Hugging Face model page
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url: https://huggingface.co/Mitchins/anime-style-classifier-efficientnet-b0
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usage: "See inference.py"
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---
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# Anime Style Classifier - EfficientNet-B0
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---
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language: en
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license: mit
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base_model: google/efficientnet-b0 # <-- top-level so it shows in the sidebar
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datasets:
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- synthetic-anime-scenes # optional; helps sidebar/search
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+
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tags:
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- image-classification
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- anime
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- pytorch
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- safetensors
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- multi-class
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- "base_model:google/efficientnet-b0" # optional searchable tag
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+
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framework: pytorch
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library_name: torchvision
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pipeline_tag: image-classification
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+
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model-index:
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- name: anime-style-classifier-efficientnet-b0
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results:
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- task:
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type: image-classification
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dataset:
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name: synthetic-anime-scenes
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type: synthetic # <-- REQUIRED
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9818
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- name: Macro F1
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type: f1
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value: 0.9879
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- task:
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type: image-classification
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dataset:
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name: synthetic-anime-scenes
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type: synthetic # <-- REQUIRED
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split: holdout
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1.0
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+
- name: Macro F1
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type: f1
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value: 1.0
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---
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# Anime Style Classifier - EfficientNet-B0
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