An annotation interface for labelling instance-aware semantic labels on panoramic full images, which outperforms other annotation tools in terms of efficiency and quality. Here is our demo site (https://label-360.droneye.tw).
We also provides high quality dense annotations. If you find the dataset is useful, please cite us.
- Total # of images: 370
- Scenes
- NTU: 3
- Tainan street view: 286
- Tai-61 express way: 81
- Total # of annotations: 72763
- Building: 33316
- Buildings: 7040
- BuildingIgnore: 1335
- Bicycle: 18
- Bicycles: 15
- Car: 23847
- Cars: 1201
- CarIgnore: 113
- FreightCar: 171
- Motorcycle: 3940
- Motorcycles: 96
- Trailer: 63
- Truck: 1363
- Van: 80
- Total # of vertices: 363815
- Total # of images: 26
- Scene: NTU
- Total # of annotations: 5763
- Bicycle: 288
- Bicycles: 131
- Building: 2733
- Buildings: 208
- BuildingIgnore: 141
- Car: 1515
- Cars: 35
- CarIgnore: 3
- FreightCar: 15
- Motorcycle: 629
- Motorcycles: 23
- Truck: 38
- Van: 4
- Total # of images: 20
- Scenes:
- NTU :5)
- Tainan street view (5)
- Tai-61 express way (10)
- Categories
- Drone
- Sky
- Road
- Vehicle
- Construction
- Nature
- Human
@incollection{lin2020label360,
title={Label360: An Annotation Interface for Labeling Instance-Aware Semantic Labels on Panoramic Full Images},
author={Lin, Liang-Han and Wen, Hao-Kai and Kao, Man-Hsin and Chen, Evelyn and Lin, Tse-Han and Ouhyoung, Ming},
booktitle={SIGGRAPH Asia 2020 Posters},
pages={1--2},
year={2020}
}
This project was funded by Ministry of Science and Technology (MOST).