metadata
tags:
- image-classification
- ecology
- fungi
library_name: DanishFungi
license: cc-by-nc-4.0
Model card for BVRA/tf_efficientnet_b1.in1k_ft_df20m_299
Model Details
- Model Type: Danish Fungi Classification
- Model Stats:
- Params (M): ??
- Image size: 299 x 299
- Papers:
- Original: ??
- Train Dataset: DF20M --> https://sites.google.com/view/danish-fungi-dataset
Model Usage
Image Embeddings
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/tf_efficientnet_b1.in1k_ft_df20m_299", pretrained=True)
model = model.eval()
train_transforms = T.Compose([T.Resize(299),
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 (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor