MineCarOutTrack Computer Vision Dataset
About MineCarOutTrack Dataset
Here are a few use cases for this project:
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Mining Safety Monitoring: The "MineCarOutTrack" model can be used for ensuring safety by monitoring mining carts. By quickly identifying any abnormal situations or the presence of people on the tracks, it would be able to alert supervisors or control systems to prevent potential accidents.
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Mining Process Optimization: The model could be used for optimizing mining processes by identifying normal and abnormal carts. Insights on the frequently detected abnormalities could assist in proactive maintenance or modification of the mining transport systems.
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Human Presence Detection: The model could be used to enforce safety regulations by identifying instances where people are improperly located near or on the tracks and triggering automated warnings or alerts.
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Autonomous Vehicle Control in Mines: This model could be applied in the development of autonomous mining machines. These machines, equipped with real-time object detection, can navigate through intricate mining tunnels, identify abnormal obstacles, or recognize the presence of people, enabling them to operate safely.
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Training Simulations: The model could be used to generate data for training simulations, providing real-world examples of normal and abnormal scenarios that might be encountered in mining tunnels. This would be useful in preparing mine workers for various situations.
Use Free Normal, Abnormal and With People Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "Normal, Abnormal, With People"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ minecarouttrack_dataset,
title = { MineCarOutTrack Dataset },
type = { Open Source Dataset },
author = { [email protected] },
howpublished = { \url{ https://universe.roboflow.com/0lu0da0ze0-gmail-com/minecarouttrack } },
url = { https://universe.roboflow.com/0lu0da0ze0-gmail-com/minecarouttrack },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2026-07-29 },
}