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e0aa361 · Aug 11, 2021

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MobileNet v2 1.0 224 INT8

Description

INT8 quantised version of MobileNet v2 model. Trained on ImageNet.

License

Apache-2.0

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 ✔️
Cortex-M ✔️
Mali GPU ✔️
Ethos U ✔️

Key

  • ✔️ - Will run on this platform.
  • ✖️ - Will not run on this platform.

Accuracy

Dataset: ILSVRC 2012

Metric Value
Top 1 Accuracy 69.68

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