tflite_int8

MicroNet Large INT8

Description

This is a fully quantized version (asymmetrical int8) of the MicroNet Large model developed by Arm, from the MicroNets paper. It is trained on the 'slide rail' task from http://dcase.community/challenge2020/task-unsupervised-detection-of-anomalous-sounds.

License

Apache-2.0

Related Materials

Class Labels

The class labels associated with this model can be created by running the script get_class_labels.sh.

Network Information

Network Information	Value
Framework	TensorFlow Lite
SHA-1 Hash	0b7e7776c79fac28c186b2ba00314a05b7faadbf
Size (Bytes)	442000
Provenance	https://arxiv.org/pdf/2010.11267.pdf
Paper	https://arxiv.org/pdf/2010.11267.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: Dcase 2020 Task 2 Slide Rail

Metric	Value
AUC	0.968

Optimizations

Optimization	Value
Quantization	INT8

Network Inputs

Input Node Name	Shape	Description
input	(1, 32, 32, 1)	Input is 64 steps of a Log Mel Spectrogram using 64 mels resized to 32x32.

Network Outputs

Output Node Name	Shape	Description
Identity	(1, 8)	Raw logits corresponding to different machine IDs being anomalous