Chang, Yingxiu
Yingxiu
Chang
Cheng, Yongqiang
Yongqiang
Cheng
Murray, John
John
Murray
Huang, Shi
Shi
Huang
Shi, Guangyi
Guangyi
Shi
The HDIN dataset: A Real-world Indoor UAV Dataset with Multi-task Labels for Visual-based Navigation
Unknown
2022
Dataset
The dataset contains image samples and Multi-task labels (i.e., regression and classification labels) collected from onboard UAV sensors in real-world indoor environments. By transforming the original labels following the instructions at: https://github.com/Yingxiu-Chang/HDIN-Dataset, the dataset can be used for indoor UAV visual-based navigation based on supervised learning. This dataset does not just expand the current public UAV navigation datasets with indoor dataset, which benefits the network generalization capabilities, but also overcomes the challenges of unidentical label units for regression tasks.