Mask2Former
Real‑time object segmentation.
Mask2Former is a machine learning model that predicts masks and classes of objects in an image.
Technical Details
Model checkpoint:facebook/mask2former-swin-tiny-coco-panoptic
Input resolution:384x384
Number of parameters:42M
Model size:200.6 MB
Number of output classes:100
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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