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+
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+ ---
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+ tags:
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+ - image-classification
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+ - ecology
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+ - fungi
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+ - FGVC
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+ library_name: DanishFungi
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+ license: cc-by-nc-4.0
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+ ---
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+ # Model card for BVRA/convnext_base.in1k_ft_df24_224
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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): 90.6
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+ - Image size: 224 x 224
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+ - **Papers:**
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+ - **Original:** ??
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+ - **Train Dataset:** DF24 --> https://sites.google.com/view/danish-fungi-dataset
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+
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+ ## Model Usage
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+ ### Image Embeddings
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+ ```python
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+ import timm
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+ import torch
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+ import torchvision.transforms as T
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+ from PIL import Image
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+ from urllib.request import urlopen
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+ model = timm.create_model("hf-hub:BVRA/convnext_base.in1k_ft_df24_224", pretrained=True)
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+ model = model.eval()
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+ train_transforms = T.Compose([T.Resize((224, 224)),
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+ T.ToTensor(),
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+ T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])])
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+ img = Image.open(PATH_TO_YOUR_IMAGE)
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+ output = model(train_transforms(img).unsqueeze(0))
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+ # output is a (1, num_features) shaped tensor
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+ ```
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+
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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},
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+ pages={633},
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+ year={2022},
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+ publisher={Multidisciplinary Digital Publishing Institute}
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+ }
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+ ```