| --- |
| pretty_name: MARS20 |
| license: afl-3.0 |
| task_categories: |
| - object-detection |
| - image-to-text |
| language: |
| - en |
| tags: |
| - remote-sensing |
| - aerial-imagery |
| - airport |
| - aircraft |
| - fine-grained-recognition |
| - keypoint-detection |
| - image-captioning |
| - generative-data |
| annotations_creators: |
| - expert-generated |
| language_creators: |
| - expert-generated |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 1K<n<10K |
| source_datasets: |
| - original |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.parquet |
| - split: validation |
| path: data/validation.parquet |
| - split: test |
| path: data/test.parquet |
| --- |
| |
| # MARS20 |
|
|
| MARS20 is a remote-sensing airport dataset for fine-grained aircraft understanding and controllable image generation. This Hugging Face release packages the official split subset as `Parquet` files with embedded RGB images, instance annotations, skeleton keypoints, and image-level captions. |
|
|
| It accompanies the paper **AirplaneGen: Skeleton-Guided Generation of Remote Sensing Images with Multi-Instance Airplanes**. |
|
|
| - Authors: Lingxuan Zhu, Yanze Ma, Jiaji Wu, Yanbo Fan, Xiaobing Wang, Mingzhou Tan |
| - Venue: *Remote Sensing*, 2026, 18(12):1940 |
| - DOI: <https://doi.org/10.3390/rs18121940> |
| - Paper: <https://www.mdpi.com/2072-4292/18/12/1940> |
|
|
| ## At a Glance |
|
|
| - 2778 annotated images |
| - 16673 airplane instances |
| - 20 fine-grained aircraft categories |
| - Bounding boxes in pixel coordinates |
| - Skeleton keypoints in normalized coordinates |
| - Image-level captions |
|
|
| This release includes only the officially split annotated subset. The original local workspace contains 32 extra RGB images without matching official annotations or split membership; they are listed in `metadata/unused_images.json`. |
|
|
| ## Splits |
|
|
| | Split | Images | Objects | |
| |---|---:|---:| |
| | train | 2563 | 15431 | |
| | validation | 107 | 566 | |
| | test | 108 | 676 | |
|
|
| ## Categories |
|
|
| `SU-35`, `C-130`, `C-17`, `C-5`, `F-16`, `TU160`, `E-3`, `B-52`, `P-3C`, `B-1B`, `E-8`, `TU-22`, `F-15`, `KC-135`, `F-22`, `FA-18`, `TU-95`, `KC-10`, `SU-34`, `SU-24` |
|
|
| ## Schema |
|
|
| Each example contains: |
|
|
| - `id`: image identifier |
| - `split`: dataset split |
| - `image`: RGB image |
| - `width`, `height`: image size |
| - `image_caption`: image-level caption |
| - `background_caption`: optional source background text |
| - `num_objects`: number of airplane instances |
| - `plane_types`: list of instance classes |
| - `objects`: full instance annotations |
|
|
| Each item in `objects` contains: |
|
|
| - `plane_type` |
| - `bbox`: `{xmin, ymin, xmax, ymax}` |
| - `keypoints`: list of `{label, x, y}` |
|
|
| ## Notes |
|
|
| - Most instances contain 8 skeleton keypoints. |
| - 6 legacy instances contain 6 or 7 keypoints; see `metadata/keypoint_anomalies.json`. |
| - Caption sources are mixed: `DetailCaption`, `caption-multi.json`, `Caption-Background`, and a small auto-generated subset. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("your-username/MARS20") |
| sample = ds["train"][0] |
| |
| print(sample["id"]) |
| print(sample["plane_types"]) |
| print(sample["objects"][0]) |
| ``` |
|
|
| ## Files |
|
|
| - `data/*.parquet`: train/validation/test splits with embedded images |
| - `metadata/summary.json`: split stats and class counts |
| - `metadata/class_names.json`: category names |
| - `metadata/unused_images.json`: excluded source RGB images |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{zhu2026airplanegen, |
| author = {Zhu, Lingxuan and Ma, Yanze and Wu, Jiaji and Fan, Yanbo and Wang, Xiaobing and Tan, Mingzhou}, |
| title = {AirplaneGen: Skeleton-Guided Generation of Remote Sensing Images with Multi-Instance Airplanes}, |
| journal = {Remote Sensing}, |
| year = {2026}, |
| volume = {18}, |
| number = {12}, |
| pages = {1940}, |
| doi = {10.3390/rs18121940}, |
| url = {https://doi.org/10.3390/rs18121940} |
| } |
| ``` |
|
|
