The Planets and Moons dataset consists of approximately 8 confirmed planets, 2 dwarf planets, and 1 Earth's moon, the Moon. It includes 11 classes in total.
There are 149 photos of each planet in 3D. All photos are optimized and ready for convolution for AI applications.
Annotations are licensed by Emirhan BULUT under a CC BY-NC 4.0 license. This software and dataset cannot be used for commercial purposes without permission.
Images are listed as licensed CC BY-NC 4.0. The dataset was collected by Emirhan BULUT. The dataset was compiled and collected in accordance with the sensitivity parameters.
The software has been prepared with a 100% accuracy, 0.0025 Loss result, superior to most ready-made models.
Emirhan BULUT
Senior Artificial Intelligence Engineer - Senior Computer Vision Engineer
##The coding language used:
Python 3.9.8
##Libraries Used:
NumPy
Pandas
Tensorflow-Keras
Glob
Seaborn
Matplotlib
Os
Name-Surname: Emirhan BULUT
Contact (Email) : emirhan@isap.solutions
LinkedIn : https://www.linkedin.com/in/artificialintelligencebulut/
Kaggle: https://www.kaggle.com/emirhanai
Official Website: https://www.emirhanbulut.com.tr
If you use the Planets and Moons Dataset - AI in Space 🌌 🛰 ☄ 🔭 dataset in your work, please cite it as:
APA-style citation: "Emirhan BULUT. Planets and Moons Dataset - AI in Space 🌌 🛰 ☄ 🔭 : A public dataset for large-scale multi-label and multi-class image classification, 2022. Available from https://github.com/emirhanai/Planets-and-Moons-Dataset-AI-in-Space and https://www.kaggle.com/datasets/emirhanai/planets-and-moons-dataset-ai-in-space".
@article{Planets and Moons Dataset - AI in Space 🌌 🛰 ☄ 🔭,
title={Planets and Moons Dataset - AI in Space 🌌 🛰 ☄ 🔭 : A public dataset for large-scale multi-label and multi-class image classification},
author={Emirhan BULUT},
journal={Dataset available from https://github.com/emirhanai/Planets-and-Moons-Dataset-AI-in-Space and https://www.kaggle.com/datasets/emirhanai/planets-and-moons-dataset-ai-in-space},
year={2022}
}