DeepLabV3-Plus-MobileNet-Quantized
Quantized Deep Convolutional Neural Network model for semantic segmentation.
DeepLabV3 Quantized is designed for semantic segmentation at multiple scales, trained on various datasets. It uses MobileNet as a backbone.
Technical Details
Model checkpoint:VOC2012
Input resolution:513x513
Number of parameters:5.80M
Model size:6.04 MB
Number of output classes:21
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Tags
- quantized
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8550 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8550 (Proxy)
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