Frequently asked questions
Find answers to frequently asked questions about dataspan.ai’s visual inspection platform.
Who is the main user of dataspan.ai?
Computer vision engineers, data scientists, and subject matter experts (SMEs) who guide the generation process.
Does dataspan.ai perform changes in my datasets?
We augment your dataset with newly generated data; however, dataspan.ai does not modify your existing images.
How many images are required to generate images of a single use case?
As few as five (though we’ve successfully worked with even less).
How fast can I get my first batch of data?
Within a day or two.
Does dataspan.ai require any additional services?
dataspan.ai is a self-serve platform that allows you to independently generate the missing defect data, without requiring additional services.
How can I tell if the data is good?
Our algorithms enhance data quality and leverage user feedback mechanisms. Ultimately, you can assess the data's effectiveness by measuring the percentage improvement in your model's performance.
Do I have to replace my existing visual inspection model?
No. We simply provide data that you can integrate into your existing ML pipeline. There’s no vendor lock-in or interference with your current process.
Do you require buying new camera equipment?
You need a source for images, so you can use your existing cameras or install new ones if necessary. dataspan.ai is agnostic to the image source and does not require any specific equipment.
What results can I expect with dataspan.ai?
We typically see dramatic improvements, including up to a 90% reduction in error rates.
After generating the data, do I need to manually annotate it?
No. We provide segmentation masks along with the generated images, so no manual annotation is needed.
Get started with GenAI visual inspection today
Transform your visual inspection processes with dataspan.ai's GenAI visual inspection platform. Leverage advanced deep learning and GenAI techniques to enhance automated defect detection in manufacturing quality assurance and predictive maintenance.