Synaptics/mobilenet_v2-int8-torq

🤗 Hugging Face sourceapache-2.012 MBother✓ 3 checksumsupdated today

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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Synaptics/mobilenet_v2-int8-torq ./model-folder

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MobileNet V2 224x224 Quantized

Model Overview

A quantized MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.

The MobileNet V2 1.0 224 Quant model is developed and optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU.

Model Features

Model Type: Image Classification
Input Size: 224x224
Output Size: 1x1000

Deployment

The compiled model file is available for download on Huggingface at Synaptics/MobileNetV2.

Usage tutorial available at Synaptics AI Developer Zone / SL2600 / Image Classification.

License

The source model is licensed under Apache License 2.0.

The compiled model for on-device deployment is covered under the Synaptics Astra EULA.

Learn More

Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
Astra Support Portal: Connect with our engineering team and community.