Cooling Liquid Reservoir Detection Dataset
#Anomaly Detection #Image Classification #Fault Detection #Liquid Level Monitoring #Predictive Maintenance
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-14
AI Analysis & Value Prop
The Cooling Liquid Reservoir Detection Dataset was created to address the growing challenge in the industrial sector of monitoring and maintaining cooling systems. Current practices often rely on manual inspections, which are time-consuming and prone to human error. Existing automated solutions lack the required accuracy and adaptability to various environments. This dataset aims to improve the detection of liquid levels and anomalies in cooling systems through advanced image analysis techniques. The dataset comprises images collected from various industrial settings using high-resolution cameras under controlled lighting conditions. Quality control measures include multi-round annotations by trained experts and consistency checks to ensure data reliability. The images are stored in JPG format, organized by date and time of capture, facilitating easy retrieval and analysis.
Dataset Insights
Sample Examples
93dc865e**.jpg|1080*1440|65.61 KB
683bcff7**.jpg|3840*2592|177.27 KB
931c0c39**.jpg|2560*1440|104.05 KB
af098bd2**.jpg|1280*720|109.13 KB
82a43064**.jpg|1280*960|37.20 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_presence | boolean | Whether there is a coolant jug in the picture. |
| object_count | int | The number of coolant jugs in the picture. |
| object_position | string | The position of the coolant jug in the picture, usually represented by the coordinates of a detection box. |
| object_size | string | The size of the coolant jug, commonly represented by the width and height of the detection box. |
| liquid_level | string | The height position of the liquid level in the coolant jug. |
| liquid_color | string | The color of the coolant liquid in the picture. |
| visibility_level | string | The clarity or visibility of the coolant bottle in the image |
| label_quality | string | Quality assessment of the target detection label for the coolant bottle |
| background_clarity | string | The clarity of the image background |
| environment_lighting | string | The lighting conditions when the image was taken |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Coolant Reservoir Detection Dataset?
- The Coolant Reservoir Detection Dataset is an image dataset focused on the fault detection of liquid level monitoring systems and coolant warnings.
- Which fields is the Coolant Reservoir Detection Dataset suitable for?
- The Coolant Reservoir Detection Dataset is suitable for industrial fields, particularly in liquid level monitoring and fault detection.
- What is the data modality of the Coolant Reservoir Detection Dataset?
- The data modality of the Coolant Reservoir Detection Dataset is images.
- How to use the Coolant Reservoir Detection Dataset for object detection?
- To use the Coolant Reservoir Detection Dataset for object detection, apply object detection algorithms to identify and locate coolant reservoirs in images.
- What are the applications of the Coolant Reservoir Detection Dataset?
- The applications of the Coolant Reservoir Detection Dataset include improving level monitoring accuracy in industrial settings and enabling predictive detection of coolant systems.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Cooling Liquid Reservoir Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/86cf585bc73f3a93fa0ba0618fa7b10d?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Cooling Liquid Dataset,Industrial Anomaly Detection,Liquid Level Monitoring,Predictive Maintenance Dataset},
version={1.0}
}Using this in research? Please cite us.
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