classsizeore Computer Vision Project
Updated a year ago
99
2
Metrics
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-05 },
}