DeepLabXception
Deep Convolutional Neural Network model for semantic segmentation.
DeepLabXception is a semantic segmentation model supporting multiple backbones like ResNet‑101 and Xception, with flexible dataset compatibility including COCO, VOC, and Cityscapes.
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This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input resolution:480x520
Model checkpoint:COCO_WITH_VOC_LABELS_V1
Model size (float):158 MB
Number of output classes:21
Number of parameters:41.26M
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
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