claravid 0.1.0

Utilities for handling ClaraVid dataset

ClaraVid

Official repo for: ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling - Accepted ICCV 2025

ClaraVid is a synthetic dataset built for semantic and geometric neural reconstruction from low altitude UAV/aerial imagery. It contains 16,917 multimodal frames collected across 8 UAV missions over 5 diverse environments: urban, urban high, rural, highway, and nature.

Delentropic Scene Profile (DSP) is a metric for estimating scene complexity from images, tailored for structured UAV mapping scenarios. DSP helps predict reconstruction difficulty.

Channel Log / TODOs

• Release dataset SDK
• Release DSP code (closer to conference)
• Release pip package
• Release dataset splits
• Set-up script
• All data uploaded

Installation

Easiest way to install this package is to use pip:

pip install claravid

Alternatively you can clone the repository and install it manually:

git clone https://github.com/rdbch/claravid_code.git
pip install -e . 

Bibtex

If you found this work useful, please cite us as:

@misc{beche2025claravid,
  title={ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling},
  author={Beche, Radu and Nedevschi, Sergiu},
  journal={arXiv preprint arXiv:2503.17856},
  year={2025}
}