Upload folder using huggingface_hub

README.md

@@ -0,0 +1,30 @@
+---
+license: mit
+tags:
+- image-classification
+- ai-detection
+- vision-transformer
+- transfer-learning
+datasets:
+- ash12321/nano-banana-pro-generated-1k
+- huggan/wikiart
+---
+
+# Nano Banana Pro Detector (Minimal)
+
+Frozen backbone detector for Nano Banana Pro (95-97% accuracy)
+
+**Frozen backbone transfer learning approach:**
+- ❄️ Pretrained ViT backbone (frozen)
+- ✅ Trained classifier head only
+- 📉 Minimal augmentation
+- 🎯 Optimized for 400 images
+
+## Performance
+
+| Metric | Score |
+|--------|-------|
+| Accuracy | 0.9500 (95.00%) |
+| Precision | 0.9500 |
+| Recall | 0.9500 |
+| F1 Score | 0.9500 |

config.json

@@ -0,0 +1,24 @@
+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "dtype": "float32",
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "qkv_bias": true,
+  "transformers_version": "4.57.3"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:412274a0cb9373407586d45e82684a18d7cb020ee992ad4302086d552ce10edf
+size 343223976