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README.md
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license: apache-2.0
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---
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license: apache-2.0
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---
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# Depth Any Canopy Base
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<!-- Provide a quick summary of what the model is/does. -->
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This is the base version of Depth Any Canopy presented in Depth Any Canopy Paper. A [Small version](https://huggingface.co/DarthReca/depth-any-canopy-small) is also available.
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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The model is Depth-Anything-Base finetuned for canopy height estimation on a filtered set of [EarthView](https://huggingface.co/datasets/satellogic/EarthView).
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- **License:** Apache 2.0
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- **Finetuned from model:** [Depth-Anything-Base](https://huggingface.co/depth-anything/Depth-Anything-V2-Base-hf)
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## Uses and Limitations
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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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.
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The images cover only RGB channels; no study of hyperspectral imagery was done.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("depth-estimation", model="DarthReca/depth-any-canopy-base")
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# Load model directly
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from transformers import AutoModelForDepthEstimation
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model = AutoModelForDepthEstimation.from_pretrained("DarthReca/depth-any-canopy-base")
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```
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- **Carbon Emitted:** 0.14 kgCO2
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Carbon emissions are estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute).
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## Citation
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```
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@misc{cambrin2024depthcanopyleveragingdepth,
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title={Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation},
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author={Daniele Rege Cambrin and Isaac Corley and Paolo Garza},
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year={2024},
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eprint={2408.04523},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2408.04523},
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}
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```
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