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README.md
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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/legacy_seresnext101_32x4d.in1k_ft_df20_384
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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: 384 x 384
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- **Papers:**
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- **Original:** ??
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- **Train Dataset:** DF20 --> https://sites.google.com/view/danish-fungi-dataset
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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/legacy_seresnext101_32x4d.in1k_ft_df20_384", pretrained=True)
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model = model.eval()
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train_transforms = T.Compose([T.Resize((384, 384)),
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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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## 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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```
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