| --- |
| annotations_creators: |
| - expert-generated |
| language: |
| - en |
| license: cc-by-sa-4.0 |
| multilinguality: monolingual |
| pretty_name: Moon Detection Dataset for YOLOv8 |
| size_categories: |
| - 1K<n<10K |
| source_datasets: |
| - original |
| task_categories: |
| - object-detection |
| --- |
| |
|
|
| # Moon Detection Dataset for YOLOv8 |
| This dataset was developed as part of the CubeRT-02 project, a CubeSat mission aimed at testing AI-powered vision systems in aerospace contexts. It consists of 7500+ annotated images for object detection of the Moon, optimized for use with the YOLOv8 architecture. |
|
|
| ## 📸 Dataset Collection & Annotation |
| **Initial set**: ~400 web-sourced images used for theoretical model exploration. |
|
|
| **Main dataset**: 7500+ images captured over 6 months using smartphones and amateur camera devices, reflecting real-world scales, perspectives, and conditions. |
|
|
| **Cleaning**: Manual filtering of blurry, low-quality, or irrelevant images. |
|
|
| **Annotation**: Performed via Roboflow platform with bounding boxes for YOLOv8. |
|
|
| **Augmentation**: Basic augmentations applied during preparation; none used during final training due to negative effects on performance. |
|
|
| ## 📁 Dataset Structure |
|
|
| This dataset follows the YOLOv8 format. A Python script and a YAML configuration file are included to help you easily train or test the dataset using Ultralytics' YOLOv8 implementation. |
|
|
| ## Authors |
|
|
| Luis Adrian Cabrera | https://github.com/LuisAdrian5519 |
|
|
| Jesse Banda Chaidez | https://github.com/Jessebnda |
|
|
| ## Contributors |
| José Alejandro Padilla Pérez | https://github.com/PadillaPepe777 |
|
|
| Erick Blanco Nakashima |
|
|
| Juan Pablo Riojas Pesqueira |
|
|
| Guillermo Villegas |
|
|
| Juan Adrian Astorga |
|
|
| Julio Castañeda |
|
|
| Juan Pablo Aboytes |
|
|
| Maximo Millán Cabrera |
|
|
