Standard DatasetsIndustrial Metal Smelting Flame Classification
The "Industrial Metal Smelting Flame Classification Dataset" is designed for the industry sector, featuring a collection of internet-collected images of metal smelting flames, all with a resolution of 350 x 350 pixels. This dataset is dedicated to the classification of flame images into 10 categories, including overexposure, black smoke, fire mass, sparks, and various intensities of slag jumping and spatter, providing crucial data for monitoring and optimizing smelting processes.
Sample
Specification
Dataset ID
MD-Image-072
Dataset Name
Industrial Metal Smelting Flame Classification
Data Type
ImageVolume
About 41k
Data Collection
Internet collected images. Resolution is 350 x 350.
Annotation
Classification
Annotation Notes
10 classifications of the collected flame images, including overexposure, black smoke, fire mass, sparks, intense/slight slag jumping, slight/moderate/complete spatter, etc.
Application Scenarios
Industry
Data Collections
This dataset comprises approximately 41k images, each classified into one of 10 distinct categories based on the characteristics of the flame observed during the metal smelting process. The classifications include detailed observations such as overexposure, black smoke presence, visible fire mass, sparks generation, and different levels of slag jumping and spatter, ranging from slight to intense. This detailed categorization is essential for industrial applications requiring precise monitoring and control of smelting processes, ensuring safety, efficiency, and quality in metal production.
Quality Assurance
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