Average Model Cost: $0.0000
Number of Runs: 58,828
Models by this creator
The GLPN model is a depth estimation model that uses Global-Local Path Networks with a SegFormer backbone. It was trained on the NYUv2 dataset and can be used for monocular depth estimation tasks. The model is lightweight and can be fine-tuned for specific tasks.
GLPN-KITTI is a fine-tuned version of the Global-Local Path Networks (GLPN) model trained on the KITTI dataset for monocular depth estimation. It uses the SegFormer backbone and a lightweight head for depth estimation. This model can be used for monocular depth estimation tasks and fine-tuned versions are available for other specific tasks.