Update dataset description.

index.html

@@ -209,16 +209,16 @@ <h2 class="title is-3">Abstract</h2>
         <h2 class="title is-3">Dataset</h2>
         <div class="content has-text-justified">
           <p>
-          The TexCot22 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 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 bounding box is approximately 230 x 210
-          pixels. To make the dataset robust to environmental conditions, we
-          recorded the field videos at separate times of day to account for
+          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 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 bounding box is approximately 230 x
+          210 pixels. To make the dataset robust to environmental conditions,
+          we recorded the field videos at separate times of day to account for
           varying lighting conditions. In total, there are roughly 30 x 300
           frames with 150,000 labeled instances. On average there are 70 unique
           cotton bolls in each sequence.