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Link to blog post on binomial tails from best practices #155

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Jan 17, 2024
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Link to blog post on binomial tails from best practices #155

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4 changes: 2 additions & 2 deletions docs/blog/2023-12-06-framegrab.md
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Expand Up @@ -13,10 +13,10 @@ authors:
title: CTO and Co-founder at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/284x281/602a9c95c5/diracl.png
- name: Tyler Romero
title: Senior Machine Learning Engineer
title: Senior ML Engineer at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/368053d79a/romerot.jpg
- name: Michael Vogelsong
title: Chief ML Scientist
title: Chief ML Engineer at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/c87b9d30f4/vogelsongm.jpg


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6 changes: 5 additions & 1 deletion docs/blog/2023-12-15-best-practices.md
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Expand Up @@ -4,10 +4,13 @@ description: How to get the best chance of success from Groundlight detectors
slug: best-practices
authors:
- name: Paulina Varshavskaya
title: Head of R&D at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/932933bc26/varshap.jpg
- name: Sunil Kumar
title: ML Engineer at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/a265e322bd/kumars.jpg
- name: Blake Thorne
title: Head of Marketing at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/daf4a78ec3/thorneb.jpg

tags: [how-to, best-practices]
Expand Down Expand Up @@ -82,7 +85,8 @@ It's also good practice to continue adding a few ground truth labels here and th
on the detector details page, in order to get tighter confidence bounds on your detector’s performance metrics.

---
> :mortar_board: *Watch this space for a forthcoming in-depth discussion of confidence bounds*
> :mortar_board: *Read an in-depth discussion of how we assess detector accuracy and the confidence bounds reported for your detector's performance:*
[Tales from the Binomial Tail: Confidence intervals for balanced accuracy](2024-01-16-binomial-tails.md)
---

If you notice labeling mistakes, correct them by providing your own answer. Then consider adding
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2 changes: 2 additions & 0 deletions docs/blog/2024-01-02-groundlight-pi-gen.md
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Expand Up @@ -19,6 +19,8 @@ Happy New Year everybody! If you got a fancy new Raspberry Pi 5 for Christmas,

Raspberry Pi offers a great platform for computer vision (CV), ranging from home hobby projects to serious industrial applications. However, setting up a Raspberry Pi for computer vision can be a time-consuming process. [Groundlight Pi-Gen](https://github.com/groundlight/groundlight-pi-gen), simplifies the setup process by providing ready-to-use OS images for Raspberry Pi.

<!-- truncate -->

(Note that here, when we say "image" we mean an OS image, which is a file containing a snapshot of an operating system - linux - that can be installed onto a new machine. These are not photos or pictures, which are also of course important in computer vision. Oh jargon...)

## Raspberry Pi OS Images pre-built with Computer Vision Software
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2 changes: 1 addition & 1 deletion docs/blog/2024-01-16-binomial-tails.md
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Expand Up @@ -4,7 +4,7 @@ description: How we assess and report detector accuracy
slug: confidence-intervals-for-balanced-accuracy
authors:
- name: Ted Sandler
title: Senior Applied Scientist
title: Senior Applied Scientist at Groundlight
image_url: https://a-us.storyblok.com/f/1015187/1000x1000/efc35da152/sandlert.jpg
- name: Leo Dirac
title: CTO and Co-founder at Groundlight
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