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@@ -12,11 +12,11 @@ license: cc-by-nc-4.0
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  ## Model Details
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  - **Model Type:** Danish Fungi Classification
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  - **Model Stats:**
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- - Params (M): ??
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  - Image size: 299 x 299
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  - **Papers:**
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- - **Original:** ??
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- - **Train Dataset:** DF20M --> https://sites.google.com/view/danish-fungi-dataset
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  ## Model Usage
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  ### Image Embeddings
@@ -39,18 +39,17 @@ output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num
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  ## Citation
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  ```bibtex
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  @InProceedings{Picek_2022_WACV,
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- author = {Picek, Luk'a {s} and {S}ulc, Milan and Matas, Ji {r}{'\i} and Jeppesen, Thomas S. and Heilmann-Clausen, Jacob and L{e}ss{\o}e, Thomas and Fr{\o}slev, Tobias},
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  title = {Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
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  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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  month = {January},
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  year = {2022},
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  pages = {1525-1535}
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  }
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- ```
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- ```bibtex
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  @article{picek2022automatic,
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  title={Automatic Fungi Recognition: Deep Learning Meets Mycology},
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- author={Picek, Luk{'a}{ {s}} and { {S}}ulc, Milan and Matas, Ji{ {r}}{'\i} and Heilmann-Clausen, Jacob and Jeppesen, Thomas S and Lind, Emil},
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  journal={Sensors},
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  volume={22},
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  number={2},
@@ -58,4 +57,4 @@ output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num
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  year={2022},
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  publisher={Multidisciplinary Digital Publishing Institute}
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  }
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- ```
 
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  ## Model Details
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  - **Model Type:** Danish Fungi Classification
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  - **Model Stats:**
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+ - Params (M): 6.7M
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  - Image size: 299 x 299
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  - **Papers:**
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+ - **Original :** Deep Residual Learning for Image Recognition --> https://arxiv.org/pdf/1512.03385
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+ - **Train Dataset:** DF20 --> https://github.com/BohemianVRA/DanishFungiDataset/
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  ## Model Usage
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  ### Image Embeddings
 
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  ## Citation
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  ```bibtex
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  @InProceedings{Picek_2022_WACV,
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+ author = {Picek, Lukas and Sulc, Milan and Matas, Jiri and Jeppesen, Thomas S. and Heilmann-Clausen, Jacob and L{e}ss{\o}e, Thomas and Fr{\o}slev, Tobias},
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  title = {Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
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  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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  month = {January},
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  year = {2022},
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  pages = {1525-1535}
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  }
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+
 
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  @article{picek2022automatic,
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  title={Automatic Fungi Recognition: Deep Learning Meets Mycology},
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+ author={Picek, Lukas and Sulc, Milan and Matas, Jiri and Heilmann-Clausen, Jacob and Jeppesen, Thomas S and Lind, Emil},
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  journal={Sensors},
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  volume={22},
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  number={2},
 
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  year={2022},
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  publisher={Multidisciplinary Digital Publishing Institute}
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  }
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+ ```