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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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Model RepositoryHugging FaceResearch Paper

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

Supported Form Factors

  • Phone
  • Tablet
  • IoT
  • Automotive

License

Model:BSD-3-CLAUSE

Supported Devices

  • Dragonwing IQ-9075 EVK
  • Dragonwing Q-6690 MTP
  • Dragonwing RB3 Gen 2 Vision Kit
  • QCS8275 (Proxy)
  • QCS8450 (Proxy)
  • QCS8550 (Proxy)
  • SA7255P ADP
  • SA8295P ADP
  • SA8775P ADP
  • 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
  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD
  • Xiaomi 12
  • Xiaomi 12 Pro
  • XR2 Gen 2 (Proxy)

Supported Chipsets

  • Qualcomm® QCM6690
  • Qualcomm® QCS6490
  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075
  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P
  • 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
  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

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