Qualify development-sheet benchmark
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README.md
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split: full
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metrics:
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- type: accuracy
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name:
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value: 0.9778
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---
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A 1.5M-parameter MobileNetV3-small classifier for hand/gripper visibility in
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robot-training footage. 96px inputs, sized for microcontroller-class deployment.
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## Benchmark
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97.8% clip accuracy on
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(
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| Model | Params | Accuracy |
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|---|---|---|
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split: full
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metrics:
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- type: accuracy
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name: Provisional development-sheet clip accuracy
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value: 0.9778
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---
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A 1.5M-parameter MobileNetV3-small classifier for hand/gripper visibility in
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robot-training footage. 96px inputs, sized for microcontroller-class deployment.
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The published 97.8% result is from a 45-clip, in-domain development sheet that
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was repeatedly consulted during development and has not yet passed the declared
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independent two-grader gate. It is reproducible development evidence, not a
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frozen external benchmark.
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## Benchmark
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97.8% clip accuracy on
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[referee-lab/hands-visible](https://github.com/publu/referee-lab) (45-clip
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provisional development sheet, robot + wildlife domains) — matching gemma3:27b
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on that sheet at 1/18,000th the parameters.
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| Model | Params | Accuracy |
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