classsizeore Object Detection Dataset and Pre-Trained Model by New

Images

412 images

Explore Dataset

Here are a few use cases for this project:

Mining Operations Analysis: Mining companies can take advantage of the "classsizeore" model to separate the ore into different sizes, allowing for more efficient resource allocation and processing. The model can identify the ore-size and thus aid in deciding the most appropriate machinery to handle each class.
Waste Reduction in Mining: By identifying the size classes of ore (including trash and non-useful material), companies can efficiently separate valuable ore from waste. This aids in reducing environmental impact and increasing the productivity of mining operations.
Geology and Earth Sciences Research: The model can be useful for researchers in the field of Geology and Earth Sciences, providing insights into the natural distribution of various ore sizes for a given type of geological formation.
Archaeological Excavation: Excavators can use the model to identify and classify the size of ores during digging. It can help in categorizing the finds accurately and increase efficiency during the sorting process.
Education: For instructional purposes, educators and students can use this model to learn and understand better the different ore sizes and classes in mining engineering or earth sciences curricula.

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.

Cite This Project

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

@misc{
                            classsizeore_dataset,
                            title = { classsizeore Dataset },
                            type = { Open Source Dataset },
                            author = { New },
                            howpublished = { \url{ https://universe.roboflow.com/new-cuz6e/classsizeore } },
                            url = { https://universe.roboflow.com/new-cuz6e/classsizeore },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-25 },
                            }