Inception-v3-Quantized
Quantized Imagenet classifier and general purpose backbone.
InceptionNetV3 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases. This model is post‑training quantized to int8 using samples from Google's open images dataset.
Technical Details
Model checkpoint:Imagenet
Input resolution:224x224
Number of parameters:23.9M
Model size:23.3 MB
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License
Tags
- backbone
- quantized
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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