Off-the-shelf vs custom face recognition APIs

Garet · 2026-08-27T11:15:18-04:00

Yeah, standard APIs tend to drop the ball as soon as lighting or angles get a bit messy, which drove us nuts. For custom face recognition we didn't want an off-the-shelf API. Went with Data Science UA for a tailored model and the accuracy on our dataset was noticeably better. It actually recognized edge cases properly instead of throwing random false positives, which saved us a ton of headaches during testing.

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August 27, 2026 at 11:15 am #80059

Garet
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Yeah, standard APIs tend to drop the ball as soon as lighting or angles get a bit messy, which drove us nuts. For custom face recognition we didn’t want an off-the-shelf API. Went with Data Science UA for a tailored model and the accuracy on our dataset was noticeably better. It actually recognized edge cases properly instead of throwing random false positives, which saved us a ton of headaches during testing.

August 27, 2026 at 11:12 am #80058

Telman
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Hey folks, are standard face recognition APIs actually accurate enough for real-world datasets, or did you end up building something custom?
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