README.md

metadata

tags:
  - image-classification
  - ecology
  - fungi
library_name: DanishFungi
license: cc-by-nc-4.0

Model card for MHanzl/DF23M-mobilenetv2_100.ra_in1k_224

Model Details

• Model Type: Danish Fungi Classification
• Model Stats:
  • Params (M): ??
  • Image size: [224, 224] x [224, 224]
• Papers:
• Original: ??
• Train Dataset: DF23M --> 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:MHanzl/DF23M-mobilenetv2_100.ra_in1k_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 (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor

Citation