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README.md

@@ -5,26 +5,30 @@ tags:
   - image-classification
 datasets:
   - imagenet-1k
-results:
-  - task:
-      type: image-classification
-      name: Image Classification
-    dataset:
-      name: imagenet-1k
-      type: imagenet-1k
-    metrics:
-      - name: Top 1 Accuracy (Full Precision)
-        type: accuracy
-        value: 0.7183
-      - name: Top 5 Accuracy (Full Precision)
-        type: accuracy
-        value: 0.9031
-      - name: Top 1 Accuracy (Dynamic Quantized wi8 afp32)
-        type: accuracy
-        value: 0.7183
-      - name: Top 5 Accuracy (Dynamic Quantized wi8 afp32)
-        type: accuracy
-        value: 0.9031
+model-index:
+  - name: MobileNet V2
+    results:
+      - task:
+          type: image-classification
+          name: Image Classification
+        dataset:
+          name: ImageNet-1k
+          type: imagenet-1k
+          config: default
+          split: validation
+        metrics:
+          - name: Top 1 Accuracy (Full Precision)
+            type: accuracy
+            value: 0.7183
+          - name: Top 5 Accuracy (Full Precision)
+            type: accuracy
+            value: 0.9031
+          - name: Top 1 Accuracy (Dynamic Quantized wi8 afp32)
+            type: accuracy
+            value: 0.7183
+          - name: Top 5 Accuracy (Dynamic Quantized wi8 afp32)
+            type: accuracy
+            value: 0.9031
 ---
 
 # MobileNet V2