Upload CNN transfer artifacts (model + preprocess + config)

README.md

@@ -20,4 +20,4 @@ Binary image classifier for deepfake or AI-generated image detection.
 
 ## Output
 - prob_fake in [0, 1] computed as softmax(logits)[fake]
-- decision threshold: 0.538
+- decision threshold: 0.452

config.json

@@ -3,11 +3,11 @@
   "framework": "pytorch",
   "arch": "efficientnet_b0",
   "num_classes": 2,
-  "threshold": 0.538,
+  "threshold": 0.452,
   "labels": {
     "0": "real",
     "1": "fake"
   },
-  "exported_at_utc": "2026-02-21T14:32:50.522468Z",
+  "exported_at_utc": "2026-02-21T15:24:38.738479Z",
   "notes": "CNN transfer baseline for deepfake detection. prob_fake = softmax(logits)[fake]."
 }

model.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a06182dc78379e3ec3faf158e713a3b190e966aaa1a3cb805bd0db589fcde391
+oid sha256:31c047ae6d6c9e434e7a0aef48afe19baf6bdda04bc78b9112c68927dbd81364
 size 16320083