Datasets:
metadata
license: mit
task_categories:
- object-detection
tags:
- robotics
- uav
- continual-learning
UAV-IndoorCL
This repository contains the dataset presented in the paper Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones.
Dataset Summary
UAV-IndoorCL is an indoor video dataset consisting of 14,400 frames capturing inter-drone and ground vehicle footage. It was specifically designed to support and benchmark Class-Incremental Learning (CIL) research for resource-constrained aerial platforms. The frames were annotated via a semi-automatic workflow with high labeling agreement and final manual verification, ensuring temporal coherence across sequences.
Citation
If you use this dataset in your research, please cite the following paper:
@article{nae2026learningflyreplaybasedcontinual,
title = {Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones},
author = {Nae, Sebastian-Ion and Barbu, Mihai-Eugen and Mocanu, Sebastian and Leordeanu, Marius},
journal = {arXiv preprint arXiv:2602.13440},
year = {2026}
}