FCN-ResNet50-Quantized
Quantized fully‑convolutional network model for image segmentation.
FCN_ResNet50 is a quantized machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.
Technical Details
Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:512x512
Number of parameters:33.0M
Model size:32.2 MB
Number of output classes:21
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:BSD-3-CLAUSE
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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