lunar_rocks_detection Object Detection Dataset and Pre-Trained Model by PFE

Images

302 images

Explore Dataset

Here are a few use cases for this project:

Space Exploration and Research: Scientists and space research organizations can use this model to analyze moon surface images for extraterrestrial geology studies. This model can help to identify and catalog different types of lunar rocks.
Moon Mining Feasibility Studies: This model can be of significant importance in moon mining projects, where it can help in identifying and classifying different rock types and their locations to assess the availability and feasibility of mining precious minerals.
Training Astronauts: As part of the preparation for lunar missions, this model can be used in training modules to help astronauts familiarize themselves with the lunar terrain and various rock formations they might encounter.
Planetary Science Education: Educational institutions and planetariums can use this model as an interactive tool allowing students and visitors to identify and learn about different types of lunar rocks.
Extraterrestrial Life Search: This model can aid astrobiologists in their search for possible life on moon by examining the rocks for potential signs of microbial life or fossilized evidences.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            lunar_rocks_detection_dataset,
                            title = { lunar_rocks_detection Dataset },
                            type = { Open Source Dataset },
                            author = { PFE },
                            howpublished = { \url{ https://universe.roboflow.com/pfe-zizmy/lunar_rocks_detection } },
                            url = { https://universe.roboflow.com/pfe-zizmy/lunar_rocks_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-28 },
                            }