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