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.
Not supported
This model is currently not supported on any Automotive chipset.
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View for other chipsetsTechnical 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
Model:BSD-3-CLAUSE
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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