Depth Any Canopy Base
This is the base version of Depth Any Canopy presented in Depth Any Canopy Paper. A Small version is also available.
Model Details
The model is Depth-Anything-Base finetuned for canopy height estimation on a filtered set of EarthView.
- License: Apache 2.0
- Finetuned from model: Depth-Anything-Base
Uses and Limitations
The model is capable of working with aerial imagery of NEON. The coverage is limited to the US. We cannot guarantee its generalizability over other areas of the globe. The images cover only RGB channels; no study of hyperspectral imagery was done.
How to Get Started with the Model
Use the code below to get started with the model.
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("depth-estimation", model="DarthReca/depth-any-canopy-base")
# Load model directly
from transformers import AutoModelForDepthEstimation
model = AutoModelForDepthEstimation.from_pretrained("DarthReca/depth-any-canopy-base")
Environmental Impact
- Carbon Emitted: 0.14 kgCO2
Carbon emissions are estimated using the Machine Learning Impact calculator.
Citation
BibTeX:
@misc{cambrin2024depthcanopyleveragingdepth,
title={Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation},
author={Daniele Rege Cambrin and Isaac Corley and Paolo Garza},
year={2024},
eprint={2408.04523},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2408.04523},
}
- Downloads last month
- 40
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.