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 Mobile chipset.
To see performance metrics for this model on other chipsets, click the button below.
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
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:BSD-3-CLAUSE
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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