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Label360

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).

Dataset

We also provides high quality dense annotations. If you find the dataset is useful, please cite us.

Polygon Annotations

Download Dataset

  • 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

Bounding Box Annotations

Download Dataset

  • 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

Experiment Result

  • Total # of images: 20
  • Scenes:
    • NTU :5)
    • Tainan street view (5)
    • Tai-61 express way (10)
  • Categories
    • Drone
    • Sky
    • Road
    • Vehicle
    • Construction
    • Nature
    • Human

Citation

@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}
}

Acknowledgements

This project was funded by Ministry of Science and Technology (MOST).