Downloads · 30 days
0
vet-dermatology-canine
ikchain/vet-dermatology-canine
vet-dermatology-canine is a image classification model from ikchain. Use it when you need a label for an image. The card lists the license as apache-2.0.
EfficientNetV2-S for canine skin lesion classification (6 classes). Part of Howl Vision for the Gemma 4 Good Hackathon.
Access
Public
Updated Apr 5, 2026
Repo size
201 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt201 MB · 100%
At a glance
- Task
- Image Classification
- License
- apache-2.0
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- 85e4e5a8
Model card
From the Hugging Face model README
Canine Dermatology Classifier — Howl Vision
EfficientNetV2-S for canine skin lesion classification (6 classes). Part of Howl Vision for the Gemma 4 Good Hackathon.
Metrics (held-out test, n=433)
| Metric | Value |
|---|---|
| Accuracy | 94.0% [91.5%, 95.8%] Wilson CI 95% |
| F1-macro | 0.923 |
Details
- Architecture:
timm/tf_efficientnetv2_s.in21k_ft_in1k, num_classes=6 - Input: 384x384 RGB, ImageNet normalization
- Classes: demodicosis, Dermatitis, Fungal_infections, Healthy, Hypersensitivity_Allergic_Dermatitis, ringworm
- Checkpoint: PyTorch
.ptwithmodel_state_dict
import timm, torch
from torchvision import transforms as T
from PIL import Image
model = timm.create_model("tf_efficientnetv2_s.in21k_ft_in1k", pretrained=False, num_classes=6)
ckpt = torch.load("vet_dermatology.pt", map_location="cpu", weights_only=False)
model.load_state_dict(ckpt["model_state_dict"])
model.eval()
- Task
- Image Classification
- License
- apache-2.0
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026