diff --git "a/index.html" "b/index.html"
--- "a/index.html"
+++ "b/index.html"
@@ -224,32 +224,12 @@
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-  /* ---------- Roadmap ---------- */
-  .phase-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 1rem; }
+  /* ---------- Cards ---------- */
   .phase-card {
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     border-radius: 6px; padding: 1rem;
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-  .phase-items .planned-text { color: var(--text-muted); }
 
   /* ---------- Pills / badges ---------- */
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@@ -360,7 +340,11 @@
   }
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   a.cell-carried:hover { background: var(--warn); color: #fff; }
-  .vd-sizes a, .vd-sizes span { margin: 0 0.08rem; }
+  td.vd-sizes { white-space: nowrap; }
+  .vd-sizes a, .vd-sizes span { margin: 0 0.06rem; }
+  .vd-sizes .cell { min-width: 0; }
+  .vd-sizes .cell-val { padding: 0.15rem 0.3rem; }
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@@ -417,7 +401,6 @@
     <button data-tab="resolution" data-datasets="visdrone-det" class="ds-hidden">Resolution &amp; Tiling</button>
     <button data-tab="coverage">Platform Coverage</button>
     <button data-tab="studio">Validation Sessions</button>
-    <button data-tab="roadmap">Progress</button>
     <button data-tab="leaderboard">Leaderboards</button>
   </nav>
 
@@ -709,7 +692,7 @@
     </div>
     <div class="section" data-datasets="visdrone-det">
       <div class="section-header"><h2>VisDrone Detection — Platform Coverage</h2>
-        <span class="section-note">each cell lists the sizes validated on-target for that family and input variant · click a size to open its session</span>
+        <span class="section-note">each cell lists the sizes validated on-target for that family and input variant · click a size to open its session · every COCO platform is being brought to VisDrone; platforms marked “coming soon” are scheduled</span>
       </div>
       <div class="coverage-wrap"><table class="matrix" id="coverage-visdrone"></table></div>
     </div>
@@ -720,22 +703,14 @@
     </div>
   </section>
 
-  <!-- Progress -->
-  <section class="tab-panel" id="tab-roadmap">
-    <div class="section">
-      <div class="section-header"><h2>Model Family Progress</h2>
-        <span class="section-note">Ultralytics YOLO families — published repos &amp; on-target validation coverage</span>
-      </div>
-      <div class="phase-grid" id="phase-grid"></div>
-      <p class="prose" style="margin-top:1rem;color:var(--text-muted);font-size:0.85rem">
-        Additional model families and platforms are added to the zoo as their on-target
-        validation completes.
-      </p>
-    </div>
-  </section>
-
   <!-- Leaderboard -->
   <section class="tab-panel" id="tab-leaderboard">
+    <div class="section" data-datasets="visdrone-det">
+      <div class="section-header"><h2>Input Strategy</h2>
+        <div class="lb-filter" id="lb-variant"></div>
+      </div>
+      <p class="section-note">Both leaderboards rank one input strategy at a time. Mixed together, the 640×640 pass would take every throughput slot, since it is the cheapest per image.</p>
+    </div>
     <div class="section">
       <div class="section-header"><h2>Platform Throughput Leaderboard</h2>
         <div class="lb-filter" id="fps-filter">
@@ -792,7 +767,7 @@
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-    var TAB_IDS = ["overview", "accuracy", "resolution", "coverage", "studio", "roadmap", "leaderboard"];
+    var TAB_IDS = ["overview", "accuracy", "resolution", "coverage", "studio", "leaderboard"];
     var DATASET_ALIASES = { "coco-det": "coco-det", "coco": "coco-det", "det": "coco-det",
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@@ -831,7 +806,7 @@
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1280x1280 spans 1600 (DE-2996)"}},{"config_key":"visdrone|yolo26|det|s|1280|imx95-ara240-nxp-ara-sdk-ara240-frdm-imx95|smart|INT16|throughput","edition":"2026Q3","dataset":"visdrone","version":"yolo26","task":"det","size":"s","variant":"1280","platform_id":"imx95-ara240-nxp-ara-sdk-ara240-frdm-imx95","platform_footer":"imx95-ara240","board":"NXP FRDM-IMX95-PRO","decoder_variant":"smart","precision":"INT16","pipeline_mode":"throughput","recipe":"ara240-int16-smart","has_metrics":false,"support":{"status":"failed","reason":"ara2-converter 2.7.3: ARA-240 area attention spans at most 1024 positions; 1280x1280 spans 1600 (DE-2996)"}},{"config_key":"visdrone|yolo26|det|s|1344x768|rpi5-hailo8l-hailort-hailort-hef-raspberry-pi-5|-|INT8|-","edition":"2026Q3","dataset":"visdrone","version":"yolo26","task":"det","size":"s","variant":"1344x768","platform_id":"rpi5-hailo8l-hailort-hailort-hef-raspberry-pi-5","platform_footer":"rpi5-hailo8l","board":"Raspberry Pi 5","decoder_variant":null,"precision":"INT8","pipeline_mode":null,"recipe":"hailo8l-fast","has_metrics":false,"support":{"status":"limited","reason":"Hailo-8L: insufficient on-chip memory for this model and input size"}},{"config_key":"visdrone|yolov8|det|m|1280|rpi5-hailo8l-hailort-hailort-hef-raspberry-pi-5|-|INT8|-","edition":"2026Q3","dataset":"visdrone","version":"yolov8","task":"det","size":"m","variant":"1280","platform_id":"rpi5-hailo8l-hailort-hailort-hef-raspberry-pi-5","platform_footer":"rpi5-hailo8l","board":"Raspberry Pi 5","decoder_variant":null,"precision":"INT8","pipeline_mode":null,"recipe":"hailo8l-fast","has_metrics":false,"support":{"status":"limited","reason":"Hailo-8L: insufficient on-chip memory for this model and input size"}}]}</script>
 <script id="snapshot-data" type="application/json">{"generated_at":"2026-10-14","matrix":[{"repo_id":"EdgeFirst/yolov5-det","dataset":"coco","version_key":"yolov5","version_label":"YOLOv5","task_key":"det","task_label":"Detection","pipeline_tag":"object-detection","sizes":["n","s","m","l","x"],"export_notes":"Legacy architecture, wide deployment base."},{"repo_id":"EdgeFirst/yolov8-det","dataset":"coco","version_key":"yolov8","version_label":"YOLOv8","task_key":"det","task_label":"Detection","pipeline_tag":"object-detection","sizes":["n","s","m","l","x"],"export_notes":"Anchor-free DFL detection head. Detection and instance-segmentation variants."},{"repo_id":"EdgeFirst/yolov8-seg","dataset":"coco","version_key":"yolov8","version_label":"YOLOv8","task_key":"seg","task_label":"Segmentation","pipeline_tag":"image-segmentation","sizes":["n","s","m","l","x"],"export_notes":"Anchor-free DFL detection head. 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Loads only on the Dragonwing IQ-9075 (Hexagon v73).","universal":false}],"sizes":[{"key":"n","label":"Nano"},{"key":"s","label":"Small"},{"key":"m","label":"Medium"},{"key":"l","label":"Large"},{"key":"x","label":"XLarge"}],"model_params":{"yolov5":{"n":{"params":"1.9M","gflops":4.5},"s":{"params":"7.2M","gflops":16.5},"m":{"params":"21.2M","gflops":49.0},"l":{"params":"46.5M","gflops":109.1},"x":{"params":"86.7M","gflops":205.7}},"yolov8":{"n":{"params":"3.2M","gflops":8.9},"s":{"params":"11.2M","gflops":28.8},"m":{"params":"25.9M","gflops":79.3},"l":{"params":"43.7M","gflops":165.7},"x":{"params":"68.2M","gflops":258.5}},"yolo11":{"n":{"params":"2.6M","gflops":6.5},"s":{"params":"9.4M","gflops":21.5},"m":{"params":"20.1M","gflops":68.0},"l":{"params":"25.3M","gflops":87.6},"x":{"params":"56.9M","gflops":195.0}},"yolo26":{"n":{"params":"2.7M","gflops":7.6},"s":{"params":"10.3M","gflops":27.0},"m":{"params":"24.5M","gflops":74.4},"l":{"params":"42.5M","gflops":155.0},"x":{"params":"67.5M","gflops":244.0}}},"det_bench":{"yolov5":{"n":{"onnx_fp32_map50":48.76,"onnx_fp32_map50_95":33.73,"tflite_int8_map50":47.71,"tflite_int8_map50_95":32.94}},"yolov8":{"n":{"onnx_fp32_map50":51.64,"onnx_fp32_map50_95":36.73,"tflite_int8_map50":50.92,"tflite_int8_map50_95":36.0}},"yolo11":{"n":{"onnx_fp32_map50":54.19,"onnx_fp32_map50_95":38.69,"tflite_int8_map50":52.72,"tflite_int8_map50_95":37.35}},"yolo26":{"n":{"onnx_fp32_map50":55.91,"onnx_fp32_map50_95":40.25,"tflite_int8_map50":54.08,"tflite_int8_map50_95":38.08}}},"seg_bench":{"yolov8":{"n":{"onnx_det_map50_95":36.23,"onnx_mask_map50_95":29.24,"int8_det_map50_95":35.51,"int8_mask_map50_95":28.7}},"yolo11":{"n":{"onnx_det_map50_95":38.48,"onnx_mask_map50_95":31.03,"int8_det_map50_95":37.21,"int8_mask_map50_95":29.82}},"yolo26":{"n":{"onnx_det_map50_95":40.13,"onnx_mask_map50_95":33.25,"int8_det_map50_95":37.83,"int8_mask_map50_95":31.55}}},"validation":{},"studio_exp_urls":{"yolov5":{"det":"https://edgefirst.studio/public/p-694/exp-be2/trainings"},"yolov8":{"det":"https://edgefirst.studio/public/p-694/exp-be3/trainings","seg":"https://edgefirst.studio/public/p-695/exp-c1f/trainings"},"yolo11":{"det":"https://edgefirst.studio/public/p-694/exp-be4/trainings","seg":"https://edgefirst.studio/public/p-695/exp-c20/trainings"},"yolo26":{"det":"https://edgefirst.studio/public/p-694/exp-be5/trainings","seg":"https://edgefirst.studio/public/p-695/exp-c21/trainings"}},"hardware_badges":["Linux x86_64","Apple macOS","NXP i.MX 8M Plus","NXP i.MX 95","NXP Ara240","RPi5 + Hailo-8L","NVIDIA Jetson"],"studio_server":"https://edgefirst.studio","unsupported_platforms":[],"visdrone_matrix":[{"repo_id":"EdgeFirst/visdrone-yolov8-det","dataset":"visdrone","version_key":"yolov8","version_label":"YOLOv8","task_key":"det","task_label":"Detection","pipeline_tag":"object-detection","sizes":["n","s","m"],"variants":["640","1280","1344x768","tiled"],"export_notes":""},{"repo_id":"EdgeFirst/visdrone-yolo11-det","dataset":"visdrone","version_key":"yolo11","version_label":"YOLO11","task_key":"det","task_label":"Detection","pipeline_tag":"object-detection","sizes":["n","s","m"],"variants":["640","1280","1344x768","tiled"],"export_notes":""},{"repo_id":"EdgeFirst/visdrone-yolo26-det","dataset":"visdrone","version_key":"yolo26","version_label":"YOLO26","task_key":"det","task_label":"Detection","pipeline_tag":"object-detection","sizes":["n","s","m"],"variants":["640","1280","1344x768","tiled"],"export_notes":""}],"visdrone_bench":{"yolov8":{"640":{"onnx_aps":10.14,"onnx_ap":18.6,"int8_aps":9.34,"int8_ap":17.67},"1280":{"onnx_aps":20.02,"onnx_ap":29.41,"int8_aps":19.58,"int8_ap":28.89},"1344x768":{"onnx_aps":21.6,"onnx_ap":30.29,"int8_aps":20.47,"int8_ap":29.04},"tiled":{"onnx_aps":19.98,"onnx_ap":28.48,"int8_aps":18.94,"int8_ap":27.41}},"yolo11":{"640":{"onnx_aps":9.99,"onnx_ap":18.46,"int8_aps":9.32,"int8_ap":17.84},"1280":{"onnx_aps":19.75,"onnx_ap":28.44,"int8_aps":18.61,"int8_ap":27.19},"1344x768":{"onnx_aps":20.7,"onnx_ap":29.95,"int8_aps":19.75,"int8_ap":28.82},"tiled":{"onnx_aps":19.46,"onnx_ap":28.1,"int8_aps":18.77,"int8_ap":27.3}},"yolo26":{"640":{"onnx_aps":10.32,"onnx_ap":18.38,"int8_aps":9.75,"int8_ap":17.52},"1280":{"onnx_aps":20.68,"onnx_ap":29.14,"int8_aps":19.91,"int8_ap":28.39},"1344x768":{"onnx_aps":21.57,"onnx_ap":30.49,"int8_aps":20.87,"int8_ap":29.53},"tiled":{"onnx_aps":20.35,"onnx_ap":28.77,"int8_aps":19.39,"int8_ap":27.56}}}}</script>
 <script>
 "use strict";
@@ -1352,12 +1327,19 @@ function renderVisdroneCoverage(tableId, seen) {
   for (const p of PLATFORM_ROWS) {
     const hits = versions.flatMap(v => variants.flatMap(variant =>
       COVERAGE_SIZES.map(sz => seen[coverageKey("det", v, sz, p.key, variant)]))).filter(Boolean);
-    if (hits.length === 0) continue;
     const row = el("tr");
     row.appendChild(el("td", {
       class: "row-h",
       html: `<div>${p.label}</div><div style="color:var(--text-muted);font-size:0.62rem">${p.detail}</div>`,
     }));
+    if (hits.length === 0) {
+      const td = el("td", { class: "cell-pending",
+        text: "Coming soon — VisDrone validation on this platform is scheduled" });
+      td.colSpan = versions.length * variants.length;
+      row.appendChild(td);
+      body.appendChild(row);
+      continue;
+    }
     for (const v of versions) {
       for (const variant of variants) {
         const td = el("td", { class: "vd-sizes" });
@@ -1383,59 +1365,34 @@ function renderCoverageMatrix() {
   else renderCoverageTable(ds().task, `coverage-${ds().task}`, seen);
 }
 
-// Progress is published per Ultralytics YOLO family: which task repos are
-// live, and how much of the platform matrix each family has validated.
-function renderRoadmap() {
-  const grid = document.getElementById("phase-grid");
-  grid.innerHTML = "";
-  const seen = coverageLookup();
-
-  const visdrone = DATASET === "visdrone-det";
-  for (const v of VERSION_ORDER) {
-    const entries = SNAPSHOT.matrix.filter(m => m.version_key === v);
-    if (entries.length === 0) continue;
-    const label = entries[0].version_label;
-
-    // Validated platform coverage for this family across its tasks (nano/small/
-    // medium only). N/A cells — platform+model combinations declared unsupported
-    // (e.g. yolo11/26 on NXP i.MX 95 Neutron) — are excluded from the denominator so
-    // the percentage reflects real, attainable coverage rather than being dragged
-    // down by combinations that will never have a result.
-    let covered = 0, possible = 0;
-    for (const m of entries) {
-      for (const p of PLATFORM_ROWS) {
-        if (!visdrone && UNSUPPORTED_CELLS.has(`${m.task_key}|${v}|${p.key}`)) continue;
-        for (const sz of COVERAGE_SIZES) {
-          for (const variant of (visdrone ? (m.variants ?? []) : [null])) {
-            possible += 1;
-            if (seen[coverageKey(m.task_key, v, sz, p.key, variant)]) covered += 1;
-          }
-        }
-      }
-    }
-    const pct = possible > 0 ? Math.round(100 * covered / possible) : 0;
-
-    const items = entries.map(m =>
-      `<li><span class="dot published"></span><a href="https://huggingface.co/${m.repo_id}" target="_blank" rel="noopener">${m.task_label} — <span style="font-family:var(--mono);font-size:0.92em">${m.repo_id}</span></a></li>`
-    ).join("");
-
-    const card = el("div", { class: "phase-card" });
-    card.innerHTML = `
-      <div class="phase-title">${label}</div>
-      <div class="phase-summary">Published · on-target validation rolling out across the platform matrix.</div>
-      <div class="phase-progress"><div class="phase-progress-bar" style="width:${pct}%"></div></div>
-      <div style="font-family:var(--mono);font-size:0.72rem;color:var(--text-muted);margin-bottom:0.5rem">${covered} / ${possible} platform × size${visdrone ? " × variant" : ""} cells validated · ${pct}%</div>
-      <ul class="phase-items">${items}</ul>
-    `;
-    grid.appendChild(card);
-  }
-}
-
 // Per-platform leaderboards built from measured Studio sessions, with a
 // power-class filter (embedded accelerators vs desktop reference) and a
 // metric toggle (accuracy mAP vs pipelined throughput FPS).
 let lbGroup = "all";
 let lbMetric = "map";
+let lbVariant = "640";
+
+function lbVariantMatches(s) {
+  return DATASET !== "visdrone-det" || s.variant === lbVariant;
+}
+
+function renderLeaderboardVariantFilter() {
+  const host = document.getElementById("lb-variant");
+  if (!host) return;
+  host.innerHTML = "";
+  const strategies = [["640", "640×640"], ["1280", "1280×1280"], ["1344x768", "1344×768"],
+    ["tiled", "640×640 tiling"]];
+  for (const [key, label] of strategies) {
+    const b = el("button", { text: label, class: key === lbVariant ? "active" : "" });
+    b.addEventListener("click", () => {
+      lbVariant = key;
+      renderLeaderboardVariantFilter();
+      renderLeaderboard();
+      renderPlatformThroughput();
+    });
+    host.appendChild(b);
+  }
+}
 
 function sessionModelName(s) {
   const base = `${s.version_key.toUpperCase()}${(s.size || "").toUpperCase()}${s.task_key === "seg" ? "-Seg" : ""}`;
@@ -1514,7 +1471,7 @@ function leaderboardEntries(platformKey, metricKey) {
   const entries = [];
   for (const s of (STUDIO?.sessions ?? [])) {
     const p = platformRowForSession(s);
-    if (!p || p.key !== platformKey || !s.has_metrics) continue;
+    if (!p || p.key !== platformKey || !s.has_metrics || !lbVariantMatches(s)) continue;
     const metric = metricKey === "fps" ? s.realized_fps : dsMetric(s);
     if (metric == null) continue;
     entries.push({ s, metric });
@@ -1559,7 +1516,7 @@ function renderPlatformThroughput() {
   const candidates = [];
   for (const s of (STUDIO?.sessions ?? [])) {
     const p = platformRowForSession(s);
-    if (!p || p.leaderboard === false || s.realized_fps == null) continue;
+    if (!p || p.leaderboard === false || s.realized_fps == null || !lbVariantMatches(s)) continue;
     if (fpsBoardGroup !== "all" && p.group !== fpsBoardGroup) continue;
     candidates.push({ p, s });
   }
@@ -2474,7 +2431,7 @@ function resizeCharts() {
   }
 }
 
-const TAB_IDS = ["overview", "accuracy", "resolution", "coverage", "studio", "roadmap", "leaderboard"];
+const TAB_IDS = ["overview", "accuracy", "resolution", "coverage", "studio", "leaderboard"];
 
 function tabAvailable(tabId) {
   const btn = document.querySelector(`nav.tabs button[data-tab="${tabId}"]`);
@@ -2579,7 +2536,7 @@ function renderDatasetViews() {
   renderValidationKpiSub();
   renderMatrixTable();
   renderCoverageMatrix();
-  renderRoadmap();
+  renderLeaderboardVariantFilter();
   renderLeaderboard();
   renderStudio();
   renderNanoCharts();