
	
		
	
	
		GLPN fine-tuned on NYUv2
	


Global-Local Path Networks (GLPN) model trained on NYUv2 for monocular depth estimation. It was introduced in the paper Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth by Kim et al. and first released in this repository. 

Disclaimer: The team releasing GLPN did not write a model card for this model so this model card has been written by the Hugging Face team.


	
		
	
	
		Model description
	


GLPN uses SegFormer as backbone and adds a lightweight head on top for depth estimation.




	
		
	
	
		Intended uses & limitations
	


You can use the raw model for monocular depth estimation. See the model hub to look for
fine-tuned versions on a task that interests you.


	
		
	
	
		How to use
	


Here is how to use this model:

For more code examples, we refer to the documentation.


	
		
	
	
		BibTeX entry and citation info
	




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 fine-tuned on KITTI
	


Global-Local Path Networks (GLPN) model trained on KITTI for monocular depth estimation. It was introduced in the paper Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth by Kim et al. and first released in this repository. 

Disclaimer: The team releasing GLPN did not write a model card for this model so this model card has been written by the Hugging Face team.


	
		
	
	
		Model description
	


GLPN uses SegFormer as backbone and adds a lightweight head on top for depth estimation.




	
		
	
	
		Intended uses & limitations
	


You can use the raw model for monocular depth estimation. See the model hub to look for
fine-tuned versions on a task that interests you.


	
		
	
	
		How to use
	


Here is how to use this model:

For more code examples, we refer to the documentation.


	
		
	
	
		BibTeX entry and citation info
	




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.

Vinvino02

Models by this creator

glpn-nyu

glpn-kitti

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