MaskRCNN

Instance segmentation for object detection and masking.

Mask R‑CNN is a machine learning model that extends Faster R‑CNN to perform instance segmentation by detecting objects in an image while simultaneously generating a high‑quality segmentation mask for each instance. It adds a branch for predicting segmentation masks in parallel with the existing branch for bounding box recognition.

Technical Details

Model checkpoint:Mask R-CNN ResNet-50 FPN V2
Input resolution:800x800
Number of output classes:91
Number of parameters:46.4M
Model size (float):177 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

License

Supported IoT Devices

  • QCS8275 (Proxy)
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)

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