-[Copula-based conformal prediction for object detection: a more efficient approach](coming_soon@PMLR/COPA2024/our_paper.pdf)
<!-- 🚩 - Checkout demo.ipynb for more details about the results ⚠️ -->
## Examples
Inferring bounding box prediction regions with **95%** coverage/validity rate, on **BDD100K**, with the **Empirical DE-CCP** approach. The ground truth boxes are shown in green and their prediction regions are highlighted in white (with blue borders).

## Requirements
- Conda v23.11.0
- CUDA v12.0+ (drv N° 525.147.05+)
- All the packages in environment.yml
## How to reproduce experiments
## Tutorial
- run setup.sh
- fill experiments.yaml
- run experiments.py
- run demo.ipynb
## Examples
Inferring bounding box prediction regions with **95%** coverage/validity rate, on **BDD100K**, with the **Empirical DE-CCP** approach. The ground truth boxes are shown in green and their prediction regions are highlighted in white (with blue borders).

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## Full report
-[Copula-based conformal prediction for object detection: a more efficient approach](coming_soon@PMLR/COPA2024/our_paper.pdf)
<!-- 🚩 - Checkout demo.ipynb for more details about the results ⚠️ -->