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 Automotive Devices

  • SA7255P ADP
  • SA8295P ADP
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P

Related Models

See all models

Looking for more? See models created by industry leaders.

Discover Model Makers