---
pretty_name: LARD V2 (per-source subsets)
license: mit
task_categories:
- object-detection
- image-segmentation
configs:
- config_name: arcgis
  data_files:
  - split: train
    path: arcgis/train-*
  - split: test
    path: arcgis/test-*
- config_name: bingmaps
  data_files:
  - split: train
    path: bingmaps/train-*
  - split: test
    path: bingmaps/test-*
- config_name: flsim
  data_files:
  - split: train
    path: flsim/train-*
  - split: test
    path: flsim/test-*
- config_name: ges
  data_files:
  - split: train
    path: ges/train-*
  - split: test
    path: ges/test-*
- config_name: xplane
  data_files:
  - split: train
    path: xplane/train-*
  - split: test
    path: xplane/test-*
size_categories:
- 100K<n<1M
tags:
- aircraft
- landing
- simulator
- sim2real
- runway
dataset_info:
- config_name: arcgis
  features:
  - name: image
    dtype: image
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: type
    dtype: string
  - name: original_dataset
    dtype: string
  - name: scenario
    dtype: string
  - name: airport
    dtype: string
  - name: runway
    dtype: string
  - name: time_to_landing
    dtype: float64
  - name: weather
    dtype: string
  - name: night
    dtype: string
  - name: time
    dtype: string
  - name: lat
    dtype: float64
  - name: lon
    dtype: float64
  - name: alt
    dtype: float64
  - name: yaw
    dtype: float64
  - name: pitch
    dtype: float64
  - name: roll
    dtype: float64
  - name: slant_distance
    dtype: float64
  - name: along_track_distance
    dtype: float64
  - name: height_above_runway
    dtype: float64
  - name: lateral_path_angle
    dtype: float64
  - name: vertical_path_angle
    dtype: float64
  - name: watermark_height
    dtype: int64
  - name: runway_in_cone
    dtype: string
  - name: x_TR
    dtype: int64
  - name: y_TR
    dtype: int64
  - name: x_TL
    dtype: int64
  - name: y_TL
    dtype: int64
  - name: x_BL
    dtype: int64
  - name: y_BL
    dtype: int64
  - name: x_BR
    dtype: int64
  - name: y_BR
    dtype: int64
  splits:
  - name: train
    num_bytes: 3487500991.766
    num_examples: 12126
  - name: test
    num_bytes: 3316801982.172
    num_examples: 11526
  download_size: 5778490294
  dataset_size: 6804302973.938
- config_name: bingmaps
  features:
  - name: image
    dtype: image
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: type
    dtype: string
  - name: original_dataset
    dtype: string
  - name: scenario
    dtype: string
  - name: airport
    dtype: string
  - name: runway
    dtype: string
  - name: time_to_landing
    dtype: float64
  - name: weather
    dtype: string
  - name: night
    dtype: string
  - name: time
    dtype: string
  - name: lat
    dtype: float64
  - name: lon
    dtype: float64
  - name: alt
    dtype: float64
  - name: yaw
    dtype: float64
  - name: pitch
    dtype: float64
  - name: roll
    dtype: float64
  - name: slant_distance
    dtype: float64
  - name: along_track_distance
    dtype: float64
  - name: height_above_runway
    dtype: float64
  - name: lateral_path_angle
    dtype: float64
  - name: vertical_path_angle
    dtype: float64
  - name: watermark_height
    dtype: int64
  - name: runway_in_cone
    dtype: string
  - name: x_TR
    dtype: int64
  - name: y_TR
    dtype: int64
  - name: x_TL
    dtype: int64
  - name: y_TL
    dtype: int64
  - name: x_BL
    dtype: int64
  - name: y_BL
    dtype: int64
  - name: x_BR
    dtype: int64
  - name: y_BR
    dtype: int64
  splits:
  - name: train
    num_bytes: 2828832829.626
    num_examples: 10423
  - name: test
    num_bytes: 2612951511.67
    num_examples: 9135
  download_size: 4584011428
  dataset_size: 5441784341.296
- config_name: flsim
  features:
  - name: image
    dtype: image
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: type
    dtype: string
  - name: original_dataset
    dtype: string
  - name: scenario
    dtype: string
  - name: airport
    dtype: string
  - name: runway
    dtype: string
  - name: time_to_landing
    dtype: float64
  - name: weather
    dtype: string
  - name: night
    dtype: string
  - name: time
    dtype: string
  - name: lat
    dtype: float64
  - name: lon
    dtype: float64
  - name: alt
    dtype: float64
  - name: yaw
    dtype: float64
  - name: pitch
    dtype: float64
  - name: roll
    dtype: float64
  - name: slant_distance
    dtype: float64
  - name: along_track_distance
    dtype: float64
  - name: height_above_runway
    dtype: float64
  - name: lateral_path_angle
    dtype: float64
  - name: vertical_path_angle
    dtype: float64
  - name: watermark_height
    dtype: int64
  - name: runway_in_cone
    dtype: string
  - name: x_TR
    dtype: int64
  - name: y_TR
    dtype: int64
  - name: x_TL
    dtype: int64
  - name: y_TL
    dtype: int64
  - name: x_BL
    dtype: int64
  - name: y_BL
    dtype: int64
  - name: x_BR
    dtype: int64
  - name: y_BR
    dtype: int64
  splits:
  - name: train
    num_bytes: 3124195330.144
    num_examples: 14668
  - name: test
    num_bytes: 3030536771.096
    num_examples: 14316
  download_size: 5196025045
  dataset_size: 6154732101.24
- config_name: ges
  features:
  - name: image
    dtype: image
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: type
    dtype: string
  - name: original_dataset
    dtype: string
  - name: scenario
    dtype: string
  - name: airport
    dtype: string
  - name: runway
    dtype: string
  - name: time_to_landing
    dtype: float64
  - name: weather
    dtype: string
  - name: night
    dtype: string
  - name: time
    dtype: string
  - name: yaw
    dtype: float64
  - name: pitch
    dtype: float64
  - name: roll
    dtype: float64
  - name: slant_distance
    dtype: float64
  - name: along_track_distance
    dtype: float64
  - name: height_above_runway
    dtype: float64
  - name: lateral_path_angle
    dtype: float64
  - name: vertical_path_angle
    dtype: float64
  - name: watermark_height
    dtype: int64
  - name: runway_in_cone
    dtype: string
  - name: x_TR
    dtype: int64
  - name: y_TR
    dtype: int64
  - name: x_TL
    dtype: int64
  - name: y_TL
    dtype: int64
  - name: x_BL
    dtype: int64
  - name: y_BL
    dtype: int64
  - name: x_BR
    dtype: int64
  - name: y_BR
    dtype: int64
  splits:
  - name: train
    num_bytes: 8505956625.248
    num_examples: 13752
  - name: test
    num_bytes: 8169290478.058
    num_examples: 12791
  download_size: 13739580604
  dataset_size: 16675247103.306
- config_name: xplane
  features:
  - name: image
    dtype: image
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: type
    dtype: string
  - name: original_dataset
    dtype: string
  - name: scenario
    dtype: string
  - name: airport
    dtype: string
  - name: runway
    dtype: string
  - name: time_to_landing
    dtype: float64
  - name: weather
    dtype: string
  - name: night
    dtype: string
  - name: time
    dtype: string
  - name: yaw
    dtype: float64
  - name: pitch
    dtype: float64
  - name: roll
    dtype: float64
  - name: slant_distance
    dtype: float64
  - name: along_track_distance
    dtype: float64
  - name: height_above_runway
    dtype: float64
  - name: lateral_path_angle
    dtype: float64
  - name: vertical_path_angle
    dtype: float64
  - name: watermark_height
    dtype: int64
  - name: runway_in_cone
    dtype: string
  - name: x_TR
    dtype: int64
  - name: y_TR
    dtype: int64
  - name: x_TL
    dtype: int64
  - name: y_TL
    dtype: int64
  - name: x_BL
    dtype: int64
  - name: y_BL
    dtype: int64
  - name: x_BR
    dtype: int64
  - name: y_BR
    dtype: int64
  splits:
  - name: train
    num_bytes: 2552712726.46
    num_examples: 15596
  - name: test
    num_bytes: 2276646749.38
    num_examples: 14020
  download_size: 4113604095
  dataset_size: 4829359475.84
---

### Load with 🤗 Datasets
You can download this dataset through HuggingFace `datasets` (which requires you to install the extra Vision packages with `pip install datasets[vision]`). Then you will be able to load specific parts of this dataset with:
```python
from datasets import load_dataset
ds = load_dataset("ORG/REPO_ID", name="flsim")  # or arcgis/bingmaps/ges/xplane
print(ds)
```