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The documentation states that '[f]or simple tasks, [a metric] could be just "accuracy" or "exact match" or "F1 score". This may be the case for simple classification or short-form QA tasks', yet it do…
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Hi authors,
Thanks for sharing your code. I trained the model. Every thing works normally.
I want to generate human parsing masks. I got the error when concatenating the confidence scores for keypoi…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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During my analysis of the College Scorecard data I came across the following:
The plot below is of 500 simulated scores for a school whose tuition was inferred with 94% confidence (Everest Univ. Jack…
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There are several methods published that claim to find more stable cluster by evaluating different parameter combinations (aka consensus clustering). One example is [SC3S](https://github.com/hemberg-l…
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How are Marine Recorder species samples to be related to sensitivity table and to which sensitivity table(s)?
Is the query reproduced in StepByStepMethod.docx specific to the reef case or are at le…
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Hi, I have trained multiple LP models now; single camera supervised, semi-supervised, ctx, multi-camera supervised, and multi-camera ctx. One issue that persists across all models is LP's insistence o…
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I wonder about the gradient visualizations of the different samples. Is it rely on the human to pre-defined?
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For regression models, fitted error models can be used to connect uncertainty scores based on distance-based contributions or ensemble variance to give confidence intervals. For classification models,…