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darrnhard/
findit-dac-2026

Name: findit-dac-2026
Availability: InStock

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model_card = """--- license: mit tags:

face-anti-spoofing
image-classification
timm
pytorch

FindIT-DAC 2026 — Face Anti-Spoofing (exp07)

Checkpoints from the FindIT-DAC 2026 Kaggle competition.
Task: 6-class face anti-spoofing | Metric: Macro F1
Best public LB: 0.79207 (all-5 equal-weight ensemble, argmax)

Architectures (exp07, 5 folds each)

Model	timm name	OOF F1
EVA-02-Base	eva02_base_patch14_224.mim_in22k	0.9293
DINOv2-Base	vit_base_patch14_reg4_dinov2.lvd142m	0.9254
SwinV2-Base	swinv2_base_window12_192.ms_in22k	0.9131
ConvNeXt-Base	convnext_base.fb_in22k	0.9073
EfficientNet-B4	efficientnet_b4	0.8826

File layout

models/exp07/<arch>/fold_<0-4>/best_model.pth
oof/exp07/          # OOF prediction arrays per architecture

Source code

github.com/darrnhard/findit-dac-2026 """

with open("hf_model_card.md", "w") as f: f.write(model_card)

api.upload_file( path_or_fileobj="hf_model_card.md", path_in_repo="README.md", repo_id=REPO_ID, repo_type="model", )

---