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README.md
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download_size: 4113604095
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dataset_size: 4829359475.84
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---
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### Load with 🤗 Datasets
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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:
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from datasets import load_dataset
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ds = load_dataset("ORG/REPO_ID", name="flsim") # or arcgis/bingmaps/ges/xplane
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print(ds)
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```
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download_size: 4113604095
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dataset_size: 4829359475.84
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---
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### Load images directly
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You can download images directly from the `images/` directory. The images' names are the ones referenced in the corresponding metadata csv files.
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⚠️ Please note that each line contains a single annotation (single box/polygon), but there can be several runways per image. It means that several lines in the csv file can refer to the same image file.
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### Load with 🤗 Datasets
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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:
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from datasets import load_dataset
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ds = load_dataset("ORG/REPO_ID", name="flsim") # or arcgis/bingmaps/ges/xplane
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print(ds)
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```
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⚠️ Please note the following 2 limitations for this method:
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- In the resulting parquet file, the image file associated with each annotation was copied directly, meaning this image is duplicated for every line referencing it.
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- The file name is not directly visible in the parquet file, but you can retrieve it by using `cast_column("image", Image(decode=False))`.
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