CharlesGaydon
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Clean out template readme
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README.md
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- name: IoU Permanent Structure
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type: IoU
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value: 59.9
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---
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- name: IoU Permanent Structure
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type: IoU
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value: 59.9
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---
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<div style="border:1px solid black; padding:25px; background-color:#FDFFF4 ; padding-top:10px; padding-bottom:1px;">
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<h1>FRACTAL-LidarHD_7cl_randlanet</h1>
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<p>The general characteristics of this specific model <strong>FRACTAL-LidarHD_7cl_randlanet</strong> are :</p>
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<ul style="list-style-type:disc;">
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<li>Trained with the FRACTAL dataset</li>
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<li>Aerial lidar point clouds, colorized with rgb + near-infrared, with high point density (~40 pts/m²)</li>
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<li>RandLa-Net architecture as implemented in the Myria3D library</li>
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<li>7 class nomenclature : [other, ground, vegetation, building, water, bridge, permanent structure]</li>
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</ul>
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</div>
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## Model Informations
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- **Code repository:** https://github.com/IGNF/myria3d (V3.8)
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- **Paper:** TBD
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- **Developed by:** IGN
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- **Compute infrastructure:**
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- software: python, pytorch-lightning
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- hardware: in-house HPC/AI resources
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- **License:** : Etalab 2.0
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---
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## Uses
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## Bias, Risks, Limitations and Recommendations
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---
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## How to Get Started with the Model
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Visit ([https://github.com/IGNF/FLAIR-1](https://github.com/IGNF/myria3d)) to use the model.
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Fine-tuning and prediction tasks are detailed in the README file.
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---
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## Training Details
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### Training Data
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### Training Procedure
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#### Preprocessing
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#### Training Hyperparameters
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#### Speeds, Sizes, Times
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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#### Metrics
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### Results
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Samples of results
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---
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## Citation
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**BibTeX:**
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```
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```
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**APA:**
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```
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```
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## Contact : TBD
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