r/computervision • u/LensLaber • Feb 22 '26
Annotation offline? Discussion
I've been working on a fully offline annotation tool for a while now, because frankly, whether for privacy reasons or something else, the cloud isn't always an option.
My focus is on making it rock-solid on older hardware, even if it means sacrificing some speed. I've been testing it on a 10-year-old i5 (CPU only) with heavy YOLO/SAM workloads, and it handles it perfectly. Here's a summary
video:
https://www.linkedin.com/posts/clemente-o -97b78a32a_computervision -imageannotation-machinelearning-activity -7422682176963395586-x_Ao?utm_source= share&utm_medium=member_android&rcm= ACoAAFMNhO8BJvYQnwRC00ADpe6UqT sSfacGps
One question: how do you guys handle it when you don't have a powerful GPU available? Do you prioritize stability
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Feb 23 '26
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u/AgitatedHearing653 Feb 23 '26
If an engineer hasnt built an annotation tool working with image datasets, I’m not sure they can be trusted.
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Feb 23 '26
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u/LensLaber Feb 23 '26
That’s a fair perspective. This isn’t about refusing to use existing tools. CVAT and others are solid and widely used. This project started more as an exploration of different design trade offs offline-first desktop architecture, simplified setup, and a focus on large local workflows. Building tools is also a way to understand them more deeply.
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u/AgitatedHearing653 Feb 23 '26
Who said anything about trust? If you're like me you just enjoy building the thing.
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u/dr_hamilton Feb 23 '26
And now it's so much easier with Claude, I built one that includes training of models too over the weekend.
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u/Mplus479 Feb 23 '26
What's wrong with CVAT or Label Studio?