Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
              ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Check out the documentation for more information.

BearingUAV

Overview

Bearing-UAV-90K is a multi-city dataset for vision-only UAV geo-localization and navigation under GNSS-denied conditions.

It is designed to go beyond the conventional matching-to-tile (M2T) paradigm by supporting position and heading regression from cross-view UAV and satellite imagery, enabling end-to-end navigation.

For more details, please refer to our paper https://arxiv.org/abs/2603.22153 and github https://github.com/liukejia121/bearinguav.

Dataset Structure

Bearing_UAV_90K/
β”‚
β”œβ”€β”€ city_rsi/                      # 4 large remote sensing images
β”‚
β”œβ”€β”€ citya/
β”‚   β”œβ”€β”€ uav_254k_37bc_b15_s100/   # UAV-view patches + JSON
β”‚   β”œβ”€β”€ sat_254k_37bc_b15_s100/   # Satellite patches + tiles
β”‚   └── rawmetadata.csv
β”‚
β”œβ”€β”€ cityb/
β”œβ”€β”€ cityc/
β”œβ”€β”€ cityd/
β”‚
β”œβ”€β”€ c4m_254k_96bc_b15_s100_v3d/   # U-S cross-view index
β”‚   └── metadata/metadata.csv
β”‚
β”œβ”€β”€ c4m_254k_96bc_b15_s100/       # S-S reference index
β”‚
β”œβ”€β”€ c1_254k_96bc_b15_s1_v3d/      # Tiny multi-city demo
β”œβ”€β”€ c1_254k_96bc_b15_s1/
β”œβ”€β”€ c1_254k_37bc_b15_s1_v3d/
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Paper for HaoyZhou/bearinguav