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.
Technical 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
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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