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.
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:224x224
Model checkpoint:COCO_WITH_VOC_LABELS_V1
Model size (float):126 MB
Model size (w8a8):32.2 MB
Number of output classes:21
Number of parameters:33.0M
Applicable Scenarios
- Anomaly Detection
- Inventory Management
License
Model:BSD-3-CLAUSE
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers