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That AI trainer told me to ditch my huge dataset strategy
I was feeding 50k images into my model for weeks and getting garbage results. A guy at a conference in Austin named Mike said to try just 500 high quality images instead. He was dead right, my accuracy jumped from like 60% to 85% in under a week. Has anyone else had to completely change how they prep their data?
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riley_king1627d ago
That's the thing people miss - they think more data automatically means better results, but garbage in means garbage out even if you have a million images. Quality over quantity is the real hack, especially if you're curating for diversity and edge cases instead of just dumping everything in there.
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