Split model zoo by task (Detection, Instance Segmentation), fix deployment claim

index.html

@@ -167,6 +167,17 @@
             text-transform: uppercase;
         }
 
+        /* Model section sub-headings */
+        h3.model-section, .container > h3 {
+            font-size: 0.95rem;
+            font-weight: 600;
+            color: var(--text-muted);
+            text-transform: uppercase;
+            letter-spacing: 0.05em;
+            margin-top: 1.25rem;
+            margin-bottom: 0.5rem;
+        }
+
         /* Model grid */
         .model-grid {
             display: grid;
@@ -271,34 +282,39 @@
         <h2>Model Zoo</h2>
         <p>Pre-trained YOLO models for edge deployment &mdash; ONNX FP32 and TFLite INT8 with platform-specific compiled variants.</p>
 
+        <h3>Detection</h3>
         <div class="model-grid">
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolo26-det">YOLO26 Detection</a></h3>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolo26-det">YOLO26</a></h3>
                 <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 54.9%</p>
             </div>
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolo26-seg">YOLO26 Segmentation</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 37.0%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolo11-det">YOLO11</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 53.4%</p>
             </div>
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolo11-det">YOLO11 Detection</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 53.4%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolov8-det">YOLOv8</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 50.2%</p>
             </div>
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolo11-seg">YOLO11 Segmentation</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 35.5%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolov5-det">YOLOv5</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 49.6%</p>
             </div>
+        </div>
+
+        <h3>Instance Segmentation</h3>
+        <div class="model-grid">
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolov8-det">YOLOv8 Detection</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 50.2%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolo26-seg">YOLO26</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 37.0%</p>
             </div>
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolov8-seg">YOLOv8 Segmentation</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 34.1%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolo11-seg">YOLO11</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 35.5%</p>
             </div>
             <div class="model-card">
-                <h3><a href="https://huggingface.co/EdgeFirst/yolov5-det">YOLOv5 Detection</a></h3>
-                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano mAP@0.5: 49.6%</p>
+                <h3><a href="https://huggingface.co/EdgeFirst/yolov8-seg">YOLOv8</a></h3>
+                <p class="meta">5 sizes &middot; COCO 80 classes &middot; Nano Mask mAP: 34.1%</p>
             </div>
         </div>
 
@@ -310,7 +326,7 @@
             <li>Dataset management &amp; AI-assisted annotation</li>
             <li>YOLO model training with automatic INT8 quantization</li>
             <li>CameraAdaptor integration for native sensor format training</li>
-            <li>One-click deployment to edge devices</li>
+            <li>Deploy trained models to edge devices via the <a href="https://github.com/EdgeFirstAI/client">EdgeFirst Client</a> CLI</li>
         </ul>
 
         <div class="footer">