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 IoT chipset.
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View for other chipsetsTechnical Details
Input resolution:800x800
Model checkpoint:Mask R-CNN ResNet-50 FPN V2
Model size (float):177 MB
Number of output classes:91
Number of parameters:46.4M
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:BSD-3-CLAUSE
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ QCS8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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