From 3e6edfac3373e83150321ec9bb1bcff0c34dbf14 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 29 Nov 2024 19:24:55 +0000
Subject: [PATCH] =?UTF-8?q?fix(pre=5Fcommit):=20=F0=9F=8E=A8=20auto=20form?=
 =?UTF-8?q?at=20pre-commit=20hooks?=
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---
 faq/index.html         | 4 ++--
 methodology/index.html | 2 +-
 static/common.css      | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/faq/index.html b/faq/index.html
index 890e238..726ae4c 100644
--- a/faq/index.html
+++ b/faq/index.html
@@ -72,7 +72,7 @@ <h1><a href="/" class="no-decoration">Computer Vision Model Leaderboard</a></h1>
         </div>
 
         <h2>Frequently Asked Questions</h2>
-        
+
         <h3>What is mAP?</h3>
         <p>
             Mean Average Precision (mAP) is a metric used to evaluate the object detection models. It is the average of the precision-recall curves at different IoU thresholds.
@@ -95,7 +95,7 @@ <h3>What is F1 Score?</h3>
             Precision measures how many of the detected objects are correct. If the model found a box on some cars in an image, but classified 20% as bicycles, precision is 80%, regardless of how many were found.
 
             What if you want high recall and high precision? F1 Score simply combines the two into a single metric. With a high F1 score, you can be sure that model produced both high precision and recall in its results.
-            
+
         <p>Here is the formula for F1 Score, where P is precision and R is recall:</p>
 
         <div style="display:flex; justify-content: center; font-size: 2em;">
diff --git a/methodology/index.html b/methodology/index.html
index 94b7ae1..72984ea 100644
--- a/methodology/index.html
+++ b/methodology/index.html
@@ -87,7 +87,7 @@ <h2>Methodology</h2>
         <p>
             The Roboflow 100 benchmark was designed to measure model performance across domains. If you are interested in learning more about domain-specific model benchmarking, refer to the <a href="https://www.rf100.org/">Roboflow 100 website</a>.
         </p>
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+
     </div>
 
     <div class="tooltip"></div>
diff --git a/static/common.css b/static/common.css
index 4b47172..a6c09e4 100644
--- a/static/common.css
+++ b/static/common.css
@@ -2,4 +2,4 @@ a.no-decoration {
     text-decoration: none;
     color: inherit;
     background-color: transparent;
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