| ---
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| task_categories:
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| - object-detection
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| tags:
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| - roboflow
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| - roboflow2huggingface
|
|
|
| ---
|
|
|
| <div align="center">
|
| <img width="640" alt="bortle/ap_obj_dataset" src="https://huggingface.co/datasets/bortle/ap_obj_dataset/resolve/main/thumbnail.jpg">
|
| </div>
|
|
|
| ### Dataset Labels
|
|
|
| ```
|
| ['comet', 'galaxy', 'moon', 'nebula', 'saturn', 'snr', 'star cluster']
|
| ```
|
|
|
|
|
| ### Number of Images
|
|
|
| ```json
|
| {'valid': 6, 'test': 4, 'train': 16}
|
| ```
|
|
|
|
|
| ### How to Use
|
|
|
| - Install [datasets](https://pypi.org/project/datasets/):
|
|
|
| ```bash
|
| pip install datasets
|
| ```
|
|
|
| - Load the dataset:
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| ds = load_dataset("bortle/ap_obj_dataset", name="full")
|
| example = ds['train'][0]
|
| ```
|
|
|
| ### Roboflow Dataset Page
|
| [https://universe.roboflow.com/bortle/astrophotographyobectdetection/dataset/3](https://universe.roboflow.com/bortle/astrophotographyobectdetection/dataset/3?ref=roboflow2huggingface)
|
|
|
| ### Citation
|
|
|
| ```
|
| @misc{
|
| astrophotographyobectdetection_dataset,
|
| title = { AstrophotographyObectDetection Dataset },
|
| type = { Open Source Dataset },
|
| author = { Bortle },
|
| howpublished = { \\url{ https://universe.roboflow.com/bortle/astrophotographyobectdetection } },
|
| url = { https://universe.roboflow.com/bortle/astrophotographyobectdetection },
|
| journal = { Roboflow Universe },
|
| publisher = { Roboflow },
|
| year = { 2025 },
|
| month = { apr },
|
| note = { visited on 2025-04-08 },
|
| }
|
| ```
|
|
|
| ### License
|
| CC BY 4.0
|
|
|
| ### Dataset Summary
|
| This dataset was exported via roboflow.com on April 8, 2025 at 8:58 AM GMT
|
|
|
| Roboflow is an end-to-end computer vision platform that helps you
|
| * collaborate with your team on computer vision projects
|
| * collect & organize images
|
| * understand and search unstructured image data
|
| * annotate, and create datasets
|
| * export, train, and deploy computer vision models
|
| * use active learning to improve your dataset over time
|
|
|
| For state of the art Computer Vision training notebooks you can use with this dataset,
|
| visit https://github.com/roboflow/notebooks
|
|
|
| To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
|
|
|
| The dataset includes 26 images.
|
| Objects are annotated in COCO format.
|
|
|
| The following pre-processing was applied to each image:
|
| * Auto-orientation of pixel data (with EXIF-orientation stripping)
|
| * Resize to 640x640 (Stretch)
|
|
|
| No image augmentation techniques were applied.
|
|
|
|
|
|
|
|
|
