Data · dataset · 2020
UAVid Dataset
Listed in DANS Data Station Physical and Technical Sciences
UAVid dataset is a high-resolution UAV semantic segmentation dataset focusing on street scenes.
Description
The dataset consists of 30 sequences (seq1 to seq30), which are captured with 4K high-resolution in oblique views. In total, 300 images have been densely labeled with 8 classes for the semantic labeling task.
The 8 classes are Building, Road, Tree, Low vegetation, Moving car, Static car, Human, Background clutter. *Task Description The task for UAVid dataset is to predict per-pixel semantic labelling for the UAV imagery, and results will be evaluated with meanIoU metric. The original video files for each sequence will be provided upon request. *Data Description Training data and validation data: each sequence is provided with images and labels.
Read the rest (4 more)
Images are named according to the frame index (0-based) in the video sequence. Test data: only test images are provided. *Data expansion We have collected another 12 sequences for the dataset. They are from seq31 to seq42, and are distributed to train, val and test sets.
We recommend to use all data for training and testing. Otherwise, please only use seq1 to seq30 for training and testing as in the original paper. *Copyright UAVid dataset is copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. *
Citation
When using this dataset in your research, please cite: @article{uavid20, Author = {Ye Lyu and George Vosselman and Guisong Xia and Alper Yilmaz and Michael Ying Yang}, Title = {UAVid: A Semantic Segmentation Dataset for UAV Imagery}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, year = {2020}, } *Contact y.lyu@utwente.nl michael.yang@utwente.nl Date Submitted: 2020-05-19
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-X9F-W9SA ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-x9f-w9sa ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Image 65% · Satellite remote sensing 65% · Video 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-X9F-W9SA | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:remote-sensing | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:video | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |