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Mask2Former

Real‑time object segmentation.

Mask2Former is a machine learning model that predicts masks and classes of objects in an image.

Model RepositoryHugging FaceResearch Paper

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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