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.
Not supported
This model is currently not supported on any Automotive chipset.
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View for other chipsetsTechnical Details
Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:480x520
Number of output classes:21
Number of parameters:41.26M
Model size (float):158 MB
Applicable Scenarios
- Anomaly Detection
- Inventory Management
License
Model:BSD-3-CLAUSE
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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