From 2aa814b7dda5ac86eabcb08a2ec80a2a33b72096 Mon Sep 17 00:00:00 2001
From: aunikahmed80 <aunikahmed80@gmail.com>
Date: Mon, 22 Jan 2024 16:46:18 -0600
Subject: [PATCH] Add detection image inclusion.

---
 index.html | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/index.html b/index.html
index 51e9896..aeb7699 100644
--- a/index.html
+++ b/index.html
@@ -191,8 +191,11 @@ <h2 class="title is-3">Dataset</h2>
             The <strong>TexCot22</strong> dataset is a set of cotton crop
             video sequences for training and testing multi-object tracking
             methods.  Each tracking sequence is 10 to 20 seconds in length.
-            The dataset contains of a total of 30 sequences of which 17 are
-            for training and the remaining 13 are for testing. The video
+            The dataset contains of a total of 28 sequences of which 15 are
+            for training and the remaining 13 are for testing. Additionally,
+	    around 5,000 images containing several cotton bolls along with
+	    their bounding box annotations in each image are provided to
+            train a cotton boll detector. The video
             sequences were captured at 4K resolution and at distinct frame
             rates (e.g., 10, 15, 30).  There are typically 2 to 10 cotton
             bolls per cluster. The average width and height of an annotated