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FCN-ResNet50

Fully‑convolutional network model for image segmentation.

FCN_ResNet50 is a machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.

Not supported

This model is currently not supported on any IoT chipset.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:224x224
Number of output classes:21
Number of parameters:33.0M
Model size (float):126 MB
Model size (w8a8):32.2 MB

Applicable Scenarios

  • Anomaly Detection
  • Inventory Management

License

Model:BSD-3-CLAUSE

Supported IoT Devices

  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-6690 MTP
  • Dragonwing Q-7790
  • Dragonwing Q-8750
  • Dragonwing RB3 Gen 2 Vision Kit
  • QCS8275 (Proxy)
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCM6690
  • Qualcomm® QCS6490
  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075

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