Initial upload of the fine-tuned model

config.json

@@ -4,31 +4,31 @@
     "SiglipForImageClassification"
   ],
   "id2label": {
-    "0": "Battery",
-    "1": "Biological",
-    "2": "Cardboard",
-    "3": "Clothes",
-    "4": "Glass",
-    "5": "Metal",
-    "6": "Paper",
-    "7": "Plastic",
-    "8": "Shoes",
-    "9": "Trash",
-    "10": "Compostable"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10"
   },
   "initializer_factor": 1.0,
   "label2id": {
-    "Battery": 0,
-    "Biological": 1,
-    "Cardboard": 2,
-    "Clothes": 3,
-    "Glass": 4,
-    "Metal": 5,
-    "Paper": 6,
-    "Plastic": 7,
-    "Shoes": 8,
-    "Trash": 9,
-    "Compostable": 10,
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_10": 10,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
   },
   "model_type": "siglip",
   "problem_type": "single_label_classification",

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68ea5dd1df29b7163ae2e0b4bd4288915ea728935596f96843020bccaa610345
-size 371592608
+oid sha256:5a7a4dd88e8e298da7cb4f6611c09e8b437d81e22f99ab86a87d1ea2e3d402ec
+size 371595684

preprocessor_config.json

@@ -4,15 +4,15 @@
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
   "image_processor_type": "SiglipImageProcessor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
   "processor_class": "SiglipProcessor",
   "resample": 2,