v0.2.0: asian data

asian data

Kodf: Large-Scale Korean Deepfake Detection Dataset

Upload Model Weight Data

1. ms_eff_gcvit_b0 weight with training kodf
2. ms_eff_gcvit_b5 weight with training kodf

How to use Model

!pip install -q git+https://github.com/HanMoonSub/DeepGuard.git

import timm
import deepguard

timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="kodf")
timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="kodf")

v0.1.0: 1st-gen western data

1st-gen western data

1. celeb_df_v2
2. faceforensics++

Upload Model Weight Data

1. ms_eff_vit_b0 weight with training celeb_df_v2
2. ms_eff_vit_b0 weight with training ff++
3. ms_eff_vit_b5 weight with training celeb_df_v2
4. ms_eff_vit_b5 weight with training ff++
5. ms_eff_gcvit_b0 weight with training celeb_df_v2
6. ms_eff_gcvit_b0 weight with training ff++
7. ms_eff_gcvit_b5 weight with training celeb_df_v2
8. ms_eff_gcvit_b5 weight with training ff++

How to use Model

!pip install -q git+https://github.com/HanMoonSub/DeepGuard.git

import timm
import deepguard

timm.create_model("ms_eff_vit_b0", pretrained=True, dataset="celeb_df_v2")
timm.create_model("ms_eff_vit_b0", pretrained=True, dataset="ff++")
timm.create_model("ms_eff_vit_b5", pretrained=True, dataset="celeb_df_v2")
timm.create_model("ms_eff_vit_b5", pretrained=True, dataset="ff++")
timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="celeb_df_v2")
timm.create_model("ms_eff_gcvit_b0", pretrained=True, dataset="ff++")
timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="celeb_df_v2")
timm.create_model("ms_eff_gcvit_b5", pretrained=True, dataset="ff++")