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---
tags:
- image-classification
- ecology
- fungi
- FGVC
library_name: FungiTastic Dataset
license: cc-by-nc-4.0
---
# Model card for BVRA/vit_base_patch16_224.in1k_ft_fungitastic-mini_224
## Model Details
- **Model Type:** Fine-grained classification of fungi species
- **Model Stats:**
- Params (M): 86.0
- Image size: 224 x 224
- **Papers:**
- **Original:** --> ???
- **Train Dataset:** FungiTastic --> https://arxiv.org/pdf/2408.13632
## Model Usage
### Image Embeddings
```python
import timm
import torch
import torchvision.transforms as T
from PIL import Image
from urllib.request import urlopen
model = timm.create_model("hf-hub:BVRA/vit_base_patch16_224.in1k_ft_fungitastic-mini_224", pretrained=True)
model = model.eval()
train_transforms = T.Compose([T.Resize((224, 224)),
T.ToTensor(),
T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
img = Image.open(PATH_TO_YOUR_IMAGE)
output = model(train_transforms(img).unsqueeze(0))
# output is a (1, num_features) shaped tensor
```
## Citation
```bibtex
@article{picek2024fungitastic,
title={FungiTastic: A multi-modal dataset and benchmark for image categorization},
author={Picek, Lukas and Janouskova, Klara and Sulc, Milan and Matas, Jiri},
journal={arXiv preprint arXiv:2408.13632},
year={2024}
}
```
```bibtex
@InProceedings{Picek_2022_WACV,
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},
title = {Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2022},
pages = {1525-1535}
}
```
```bibtex
@article{picek2022automatic,
title={Automatic Fungi Recognition: Deep Learning Meets Mycology},
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},
journal={Sensors},
volume={22},
number={2},
pages={633},
year={2022},
publisher={Multidisciplinary Digital Publishing Institute}
}
```
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