MobileNetV2: Inverted Residuals and Linear Bottlenecks
Paper • 1801.04381 • Published • 1
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MobileNet v2 1.0 224 INT8
Description
INT8 quantised version of MobileNet v2 model. Trained on ImageNet.
License
Related Materials
Class Labels
The class labels associated with this model can be downloaded by running the script get_class_labels.sh.
Model Recreation Code
Code to recreate this model can be found here.
Network Information
| Network Information | Value |
|---|---|
| Framework | TensorFlow Lite |
| SHA-1 Hash | 8de7996dfeadb5ab6f09e3114f3905fd03879eee |
| Size (Bytes) | 4020936 |
| Provenance | https://arxiv.org/pdf/1801.04381.pdf |
| Paper | https://arxiv.org/pdf/1801.04381.pdf |
Performance
| Platform | Optimized |
|---|---|
| Cortex-A | :heavy_check_mark: |
| Cortex-M | :heavy_check_mark: |
| Mali GPU | :heavy_check_mark: |
| Ethos U | :heavy_check_mark: |
Key
- :heavy_check_mark: - Will run on this platform.
- :heavy_multiplication_x: - Will not run on this platform.
Accuracy
Dataset: ILSVRC 2012
| Metric | Value |
|---|---|
| Top 1 Accuracy | 0.697 |
Optimizations
| Optimization | Value |
|---|---|
| Quantization | INT8 |
Network Inputs
| Input Node Name | Shape | Description |
|---|---|---|
| tfl.quantize | (1, 224, 224, 3) | Single 224x224 RGB image with INT8 values between -128 and 127 |
Network Outputs
| Output Node Name | Shape | Description |
|---|---|---|
| MobilenetV2/Predictions/Reshape_11 | (1, 1001) | Per-class confidence for 1001 ImageNet classes |
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