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README.md

@@ -1,3 +1,26 @@
 ---
 license: apache-2.0
+metrics:
+- accuracy
+- f1
 ---
+Detects the skin type (dry, normal, oily) based on facial image.
+
+See https://www.kaggle.com/code/dima806/skin-types-image-detection-vit for details.
+
+```
+Classification report:
+
+              precision    recall  f1-score   support
+
+         dry     0.6471    0.5402    0.5888       224
+      normal     0.6031    0.7054    0.6502       224
+        oily     0.6054    0.6027    0.6040       224
+
+    accuracy                         0.6161       672
+   macro avg     0.6185    0.6161    0.6143       672
+weighted avg     0.6185    0.6161    0.6143       672
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/MRzo_pR1egNx78PDT90XO.png)
+

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "dima806/skin_types_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "dry",
+    "1": "normal",
+    "2": "oily"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "dry": 0,
+    "normal": 1,
+    "oily": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9397cb2aeeaab33045bec457de517d1a562964fb40f842d66a37327429fffa07
+size 343227052

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
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+oid sha256:9b6a8060e7a79d40685bf1a1624c5a18aa9b77e00528dfdd9686df38363359be
+size 4856