FCN-ResNet50
Fully‑convolutional network model for image segmentation.
FCN_ResNet50 is a 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:224x224
Number of parameters:32.9M
Number of output classes:21
Model size (float):126 MB
Model size (w8a8):32.2 MB
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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