Create README.md

README.md

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+---
+tags:
+  - vision
+  - image-classification
+datasets:
+  - imagenet-1k
+results:
+      - task:
+          type: 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
+---
+
+# MobileNet V2
+
+MobileNet V2 model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in [MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381) by Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen. 
+
+
+## Model description
+
+The model was converted from a checkpoint from PyTorch Vision. 
+
+The original model has:    
+acc@1 (on ImageNet-1K): 71.878%    
+acc@5 (on ImageNet-1K): 90.286%    
+num_params: 3,504,872    
+
+The license information of the original model was missing.
+
+
+### BibTeX entry and citation info
+
+```bibtex
+@inproceedings{mobilenetv22018,
+  title={MobileNetV2: Inverted Residuals and Linear Bottlenecks},
+  author={Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen},
+  booktitle={CVPR},
+  year={2018}
+}
+```