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-HUB-MODELS-LICENSE
Supported IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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