Image segmentation
Models of this kind. A tt-inference-server model's kind is its model type. A tt-model bundle's kind is the task tag on its card. A bundle with no tag was placed here by an inference from its name and manifest, and its card says so.
Community models are tt-model bundles published by their owners and are not in tt-inference-server's release spec. Tenstorrent has not reviewed them. Serve at your own risk.
lidar_frnet
FRNet, a 10.0M-parameter LiDAR semantic-segmentation network (a frustum feature encoder of point-wise MLPs with a per-cell max, a frustum-range 2D CNN with four residual stages and point-pixel fusion, and a per-point head), one network per…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
sam3
Published as 1 tt-model bundle by changh95.
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
sceneseg-p150
SceneSeg, a 48.3M-parameter camera segmentation network (EfficientNet-B0 encoder, a SceneContext block that gates the stride-32 features with a global prior, and a UNet-style decoder of five 2x up-blocks with a 3-class head) on a fixed…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
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