Update description of video sequences for training a detection model.

index.html

@@ -188,23 +188,22 @@ <h2 class="title is-3">Abstract</h2>
         <h2 class="title is-3">Dataset</h2>
         <div class="content has-text-justified">
           <p>
-            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 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
+            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.  In addition, two of the
+            training sequences consist of roughly 5,000 annotated images, which
+            can be used to train a cotton boll detection model.  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.
+            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.
           </p>
         </div>
       </div>