diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..bb924240c44a347caffcf233535b213187f399db
--- /dev/null
+++ b/.gitattributes
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+objects_ktx2/Womens_Authentic_Original_Boat_Shoe_in_Navy_Deerskin_50lWJaLWG8R/Womens_Authentic_Original_Boat_Shoe_in_Navy_Deerskin_50lWJaLWG8R.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Betty_Chukka_Boot_in_Grey_Jersey_Sequin/Womens_Betty_Chukka_Boot_in_Grey_Jersey_Sequin.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Betty_Chukka_Boot_in_Navy_aEE8OqvMII4/Womens_Betty_Chukka_Boot_in_Navy_aEE8OqvMII4.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Betty_Chukka_Boot_in_Navy_Jersey_Sequin_y0SsHk7dKUX/Womens_Betty_Chukka_Boot_in_Navy_Jersey_Sequin_y0SsHk7dKUX.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Betty_Chukka_Boot_in_Salt_Washed_Red_AL2YrOt9CRy/Womens_Betty_Chukka_Boot_in_Salt_Washed_Red_AL2YrOt9CRy.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_i1TgjjO0AKY/Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_i1TgjjO0AKY.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_JJ2pfEHTZG7/Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_JJ2pfEHTZG7.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_kqi81aojcOR/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_kqi81aojcOR.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_w34KNQ41csH/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_w34KNQ41csH.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_IbrSyJdpT3h/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_IbrSyJdpT3h.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_niKJKeWsmxY/Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_niKJKeWsmxY.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_Tan/Womens_Bluefish_2Eye_Boat_Shoe_in_Tan.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Bluefish_2Eye_Boat_Shoe_in_White_Tumbled_YG44xIePRHw/Womens_Bluefish_2Eye_Boat_Shoe_in_White_Tumbled_YG44xIePRHw.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Canvas_Bahama_in_Black/Womens_Canvas_Bahama_in_Black.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Canvas_Bahama_in_Black_vnJULsDVyq5/Womens_Canvas_Bahama_in_Black_vnJULsDVyq5.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Canvas_Bahama_in_White_4UyOhP6rYGO/Womens_Canvas_Bahama_in_White_4UyOhP6rYGO.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Canvas_Bahama_in_White_UfZPHGQpvz0/Womens_Canvas_Bahama_in_White_UfZPHGQpvz0.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_8LigQYwf4gr/Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_8LigQYwf4gr.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_cZR022qFI4k/Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_cZR022qFI4k.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Hikerfish_Boot_in_Black_Leopard_bVSNY1Le1sm/Womens_Hikerfish_Boot_in_Black_Leopard_bVSNY1Le1sm.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW/Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Multi_13/Womens_Multi_13.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe/Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g/Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ/Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver/Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9/Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R/Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX/Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Teva_Capistrano_Bootie/Womens_Teva_Capistrano_Bootie.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht/Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Wooden_ABC_123_Blocks_50_pack/Wooden_ABC_123_Blocks_50_pack.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Wrigley_Orbit_Mint_Variety_18_Count/Wrigley_Orbit_Mint_Variety_18_Count.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/Xyli_Pure_Xylitol/Xyli_Pure_Xylitol.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/YumYum_D3_Liquid/YumYum_D3_Liquid.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/ZigKick_Hoops/ZigKick_Hoops.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/ZX700_lYiwcTIekXk/ZX700_lYiwcTIekXk.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/ZX700_mf9Pc06uL06/ZX700_mf9Pc06uL06.glb filter=lfs diff=lfs merge=lfs -text
+objects_ktx2/ZX700_mzGbdP3u6JB/ZX700_mzGbdP3u6JB.glb filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e985b72ac0eb43a61327f4537c1983f6c6be8f6c
--- /dev/null
+++ b/README.md
@@ -0,0 +1,224 @@
+---
+license: cc-by-4.0
+pretty_name: Scanned Objects GLB
+tags:
+- 3d
+- gltf
+- glb
+- web
+- three.js
+- photogrammetry
+- google-scanned-objects
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: thumbs/**
+---
+
+# Scanned Objects GLB
+
+Web-ready glTF binary (`.glb`) copies of the 1,033 household products in
+[Google Scanned Objects](https://research.google/blog/scanned-objects-by-google-research-a-dataset-of-3d-scanned-common-household-items/),
+taken from the official copies on [Gazebo Fuel](https://app.gazebosim.org/GoogleResearch/fuel/models). Each file loads
+directly in three.js, Babylon.js, model-viewer or any glTF 2.0 viewer, at real size in metres, Y up.
+
+<video src="https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/assets/preview.mp4" autoplay loop muted playsinline width="100%"></video>
+
+![Every object in the pack](https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/assets/all_objects.jpg)
+
+Scans by Google Research, licensed CC BY 4.0 (Copyright 2020 Google LLC). This dataset converts and compresses them.
+It does not change what they show. If you use these files, credit Google Research and link the source.
+
+Brands, logos and product names printed on the packaging belong to their owners. They appear because the scans are of
+real retail products; this dataset claims no rights in them and implies no endorsement.
+
+## Use it in 67js
+
+The files load in [67js](https://github.com/codepawl/67.js), a WebGL2 renderer. The geometry is meshopt compressed, so pass the decoder to `loadGltf`.
+The snippet below loads the Clue board game from this repository and draws it on a page with one `<canvas>`.
+
+```bash
+npm install 67js@npm:@codepawlhq/67js meshoptimizer
+```
+
+```js
+import { Renderer67 } from '67js';
+import { loadGltf } from '67js/addons/gltf';
+import { MeshoptDecoder } from 'meshoptimizer';
+
+const GLB_URL = 'https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Clue_Board_Game_Classic_Edition/Clue_Board_Game_Classic_Edition.glb';
+const asset = await loadGltf(GLB_URL, { decoders: { meshopt: MeshoptDecoder } });
+const renderer = new Renderer67(document.querySelector('canvas'), asset.parts, { samples: 4 });
+renderer.render({ eye: [0, 0.3, 0.8], target: [0, 0.05, 0] });
+```
+
+The objects are a few centimetres to about half a metre across, so keep the camera close.
+
+To search all 1,033 objects and orbit any of them, serve a local copy with any static server
+(`npx serve scanned-objects-glb`) and open `/viewer/`.
+
+| | Source (OBJ + PNG) | This dataset |
+|---|---|---|
+| Objects | 1,033 | 1,033 |
+| Total size | 13.7 GB unpacked, 8.7 GB as zip | 344.8 MB |
+| Triangles | 16,664,572 | 16,664,572 (not simplified) |
+| Texture | 4096 px PNG | 2048 px WebP |
+
+Example: the Clue board game is 25.0 MB as OBJ and PNG and 873 KB here. On a local server in headless
+Chrome, the 45 objects that still had an uncompressed copy took 13.4 s to load and draw as plain glb
+and 2.7 s as these files.
+
+## What is in it
+
+- `objects/<id>/<id>.glb`: one file per scan, named like the model on Gazebo Fuel.
+- `thumbs/<id>.webp`: a 512 px render of each glb, with `thumbs/metadata.jsonl` for the Dataset Viewer.
+- `metadata.jsonl`: one line per object: name, shelf category, brand, MPN, SKU from the source, size in metres,
+  estimated mass, triangles, texture size and bytes before and after.
+- `collision_hulls.json`: one convex hull per object (up to 40 points, in the glb's frame) with its volume and mass
+  estimate, ready for a physics engine.
+- `objects_ktx2/<id>/<id>.glb`: the same objects with KTX2 textures for games and WebGPU, plus `gpu_variants.jsonl`.
+- `lods/<id>/<id>_lod1.glb` to `_lod3.glb`: simplified levels with smaller KTX2 textures.
+- `viewer/`: the static three.js browser.
+- `assets/`: the banner video and the picture of all objects at the top of this card.
+
+## Download
+
+All files, about 344.8 MB:
+
+```bash
+hf download codepawl/scanned-objects-glb --repo-type dataset --local-dir scanned-objects-glb
+```
+
+One file from Python:
+
+```python
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download("codepawl/scanned-objects-glb", "objects/Clue_Board_Game_Classic_Edition/Clue_Board_Game_Classic_Edition.glb", repo_type="dataset")
+```
+
+## Loading in three.js
+
+The geometry uses `EXT_meshopt_compression` and the textures use `EXT_texture_webp`, so set the meshopt decoder:
+
+```js
+import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js';
+import { MeshoptDecoder } from 'three/addons/libs/meshopt_decoder.module.js';
+
+const loader = new GLTFLoader();
+loader.setMeshoptDecoder(MeshoptDecoder);
+loader.load('Clue_Board_Game_Classic_Edition.glb', (gltf) => scene.add(gltf.scene));
+```
+
+## For web games and WebGPU: KTX2 and LODs
+
+A WebP texture is decoded to full RGBA on the GPU. `objects_ktx2/` has the same 1,033 objects with KTX2 textures
+(ETC1S, full mip chain, `KHR_texture_basisu`), which stay block compressed in VRAM. `lods/` adds three simpler levels of
+each object as separate files, because neither three.js nor 67js reads `MSFT_lod`. Every level has the same origin,
+scale and orientation, so switching level is a plain swap. The files in `objects/` did not change.
+
+| Level | File | Triangles kept | Texture | VRAM, median | File, median |
+|---|---|---|---|---|---|
+| WebP pack | `objects/<id>/<id>.glb` | 100% | 2048 px WebP | 21.5 MiB | 297 KiB |
+| lod0 | `objects_ktx2/<id>/<id>.glb` | 100% | 2048 px KTX2 | 5.5 MiB | 336 KiB |
+| lod1 | `lods/<id>/<id>_lod1.glb` | 50% | 1024 px | 1.4 MiB | 129 KiB |
+| lod2 | `lods/<id>/<id>_lod2.glb` | 20% | 512 px | 0.38 MiB | 56 KiB |
+| lod3 | `lods/<id>/<id>_lod3.glb` | 6% | 256 px | 0.10 MiB | 22 KiB |
+
+Load time for one object, median of 20 objects with 5 loads each:
+
+| | WebP pack | KTX2 lod0 |
+|---|---|---|
+| three.js WebGPURenderer, load | 41.3 ms | 23.2 ms |
+| three.js WebGPURenderer, load and first frame | 48.1 ms | 27.0 ms |
+| 67js, load | 49.0 ms | 30.4 ms |
+
+three.js WebGLRenderer was measured on a smaller sample, 5 objects with 3 loads each. It loaded the WebP file in
+45.1 ms and the KTX2 file in 26.3 ms. With the first frame, they took 67.3 ms and 35.4 ms. It also transcoded KTX2 to BC7.
+
+Measured on an RTX 3060 in headless Chrome (ANGLE D3D11, WebGPU backend), three.js r187 and 67js 0.15.0, files from
+localhost. VRAM counts texture and geometry bytes as uploaded: the KTX2 files transcode to BC7 on this GPU, and WebP is
+RGBA8 with mips. The GPU was shared with other jobs, so the ratios are more reliable than the milliseconds. Phones
+(ASTC or ETC2) and Safari were not measured. The KTX2 set is 373.6 MB against 344.8 MB for the WebP set, and the LODs
+add 247.7 MB.
+
+three.js with WebGPU:
+
+```js
+import * as THREE from 'three';
+import { WebGPURenderer } from 'three/webgpu';
+import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js';
+import { KTX2Loader } from 'three/addons/loaders/KTX2Loader.js';
+import { MeshoptDecoder } from 'three/addons/libs/meshopt_decoder.module.js';
+
+const BASE = 'https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main';
+const renderer = new WebGPURenderer({ antialias: true });
+await renderer.init(); // call before detectSupport, so the loader knows the device's formats
+
+const ktx2Loader = new KTX2Loader()
+  .setTranscoderPath('https://cdn.jsdelivr.net/npm/three@0.187.0/examples/jsm/libs/basis/')
+  .detectSupport(renderer);
+const loader = new GLTFLoader().setKTX2Loader(ktx2Loader).setMeshoptDecoder(MeshoptDecoder);
+const gltf = await loader.loadAsync(`${BASE}/objects_ktx2/11pro_SL_TRX_FG/11pro_SL_TRX_FG.glb`);
+```
+
+67js does not bundle the decoders, so pass the three.js KTX2 loader and meshopt decoder:
+
+```js
+import { KTX2Loader } from 'three/addons/loaders/KTX2Loader.js';
+import { MeshoptDecoder } from 'three/addons/libs/meshopt_decoder.module.js';
+import { loadGltf, ktx2WorkerConfigFor } from '67js/addons/gltf';
+
+const BASE = 'https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main';
+const context = document.createElement('canvas').getContext('webgl2'); // with a Renderer67, use renderer.context
+const ktx2 = new KTX2Loader().setTranscoderPath('https://cdn.jsdelivr.net/npm/three@0.187.0/examples/jsm/libs/basis/');
+ktx2.workerConfig = ktx2WorkerConfigFor(context); // without it the loader throws
+
+const asset = await loadGltf(`${BASE}/objects_ktx2/11pro_SL_TRX_FG/11pro_SL_TRX_FG.glb`, { decoders: { ktx2, meshopt: MeshoptDecoder } });
+ktx2.dispose();
+```
+
+Both snippets ran against that URL. three.js reported the WebGPU backend and a BC7 texture with 12 mips, and 67js
+reported one BC7 2048 px texture with no warnings. The textures were encoded with KTX-Software 4.4.2 `toktx`
+(ETC1S, `--clevel 0 --qlevel 128 --genmipmap`). ETC1S was chosen over UASTC because these scans have only a colour map.
+The LODs use meshopt simplify with error caps of 0.01, 0.03 and 0.08.
+
+Game engines: Unreal Engine 5.8 does not import these files, because its glTF importer does not read
+`EXT_meshopt_compression`. For Unreal, decode a file from `objects/` first. The command below writes plain geometry
+and PNG textures. A SimReady file made this way imported into Unreal 5.8 with its textures:
+
+```bash
+npx @gltf-transform/cli png Clue_Board_Game_Classic_Edition.glb Clue_plain.glb --formats "*"
+```
+
+Unity and Godot were not tested. `collision_hulls.json` holds one convex hull per object for any physics engine.
+
+## Categories and mass
+
+The source gives a product name and, for some objects, a retail category that is often missing or wrong (a shoe
+filed under bottles and cups, for example). Each object gets one shelf category: shoe (254), toy (224), household (102), electronics (97), kitchen (80), food and drink (71), health and beauty (55), bottles and cups (37), board game (33), bag (30), media (29), other (13), baby gear (6), clothing (2).
+553 come from the source category and 467 from keyword rules on the product name; 13 match
+neither and are left as `other`. The rules are in `categories.mjs` of the conversion scripts; expect a few misfiles.
+
+The source has no mass. `mass_estimate_kg` is the hull volume times a rough bulk density for the category (a boxed
+toy is mostly air), so treat it as a starting value, not a measurement.
+
+## How the files were made
+
+1. Download every model of the `GoogleResearch` owner from Gazebo Fuel (1,033 on 2026-11-02; the Google
+   blog says 1,030). Each archive holds `meshes/model.obj`, `model.mtl`, a 4096 px PNG and `metadata.pbtxt`.
+2. Read the OBJ, turn it from Z up to Y up, keep metres. Write one glTF mesh with the PNG as base colour.
+3. Optimize with glTF Transform: dedup, prune, weld, texture to 2048 px WebP at quality 88, meshopt at its high level.
+4. Build a convex hull from the full scan with scipy, simplified to 40 points.
+5. Render a 512 px thumbnail of every pack file in headless Chrome.
+
+Before the full run, 10 objects were rendered from the uncompressed glb and from the pack file with the same camera.
+The mean pixel difference was 0.02 to 0.50 out of 255; a 1024 px texture doubled it, so 2048 px was kept.
+
+## Known gaps
+
+The scans are single meshes with one texture, so lids, straps and soft parts do not move. Shiny and transparent
+surfaces were scanned as matte colour. Hulls are convex, so a bowl or a shoe collides as if filled. Mass is estimated.
diff --git a/assets/all_objects.jpg b/assets/all_objects.jpg
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+oid sha256:c169d74b1a29707af4fc4fbcf576ae80557b33efb67521026d5e8f494baa0912
+size 773654
diff --git a/assets/banner.jpg b/assets/banner.jpg
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+{"file_name":"Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW.webp","id":"Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW","name":"Women's Hikerfish Boot in Black / Leopard","category":"shoe","brand":"Sperry Top-Sider","width_m":0.1152,"height_m":0.1878,"depth_m":0.2443,"triangles":24584,"pack_bytes":314132,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW/Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW.glb"}
+{"file_name":"Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH.webp","id":"Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH","name":"Women's Hikerfish Boot in Linen Leather / Sparkle Suede","category":"shoe","brand":"Sperry Top-Sider","width_m":0.0905,"height_m":0.1932,"depth_m":0.2485,"triangles":20658,"pack_bytes":356700,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH.glb"}
+{"file_name":"Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU.webp","id":"Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU","name":"Women's Hikerfish Boot in Linen Leather / Sparkle Suede","category":"shoe","brand":"Sperry Top-Sider","width_m":0.2489,"height_m":0.1925,"depth_m":0.0897,"triangles":20600,"pack_bytes":402076,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU/Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU.glb"}
+{"file_name":"Womens_Multi_13.webp","id":"Womens_Multi_13","name":"Women's Multi 1-3","category":"bottles and cups","brand":"Jarrow Formulas","width_m":0.0616,"height_m":0.1132,"depth_m":0.0616,"triangles":10530,"pack_bytes":269184,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Multi_13/Womens_Multi_13.glb"}
+{"file_name":"Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe.webp","id":"Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe","name":"Women's Sequin Bahama in White Sequin","category":"shoe","brand":"Sperry Top-Sider","width_m":0.2491,"height_m":0.0869,"depth_m":0.0883,"triangles":13638,"pack_bytes":246772,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe/Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe.glb"}
+{"file_name":"Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g.webp","id":"Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g","name":"Women's Sequin Bahama in White Sequin","category":"shoe","brand":"Sperry Top-Sider","width_m":0.0914,"height_m":0.1135,"depth_m":0.2447,"triangles":23926,"pack_bytes":382328,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g/Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g.glb"}
+{"file_name":"Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ.webp","id":"Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ","name":"Women's Sequin Bahama in White Sequin","category":"shoe","brand":"Sperry Top-Sider","width_m":0.1013,"height_m":0.1062,"depth_m":0.2467,"triangles":16678,"pack_bytes":237952,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ/Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ.glb"}
+{"file_name":"Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver.webp","id":"Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver","name":"Women's Sparkle Suede Angelfish in Grey Sparkle Suede / Silver","category":"shoe","brand":"Sperry Top-Sider","width_m":0.1036,"height_m":0.0774,"depth_m":0.2391,"triangles":18986,"pack_bytes":350020,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver/Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver.glb"}
+{"file_name":"Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN.webp","id":"Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN","name":"Women's Sparkle Suede Bahama in Silver Sparkle Suede / Grey Patent","category":"shoe","brand":"Sperry Top-Sider","width_m":0.0942,"height_m":0.0889,"depth_m":0.2486,"triangles":14916,"pack_bytes":274888,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN.glb"}
+{"file_name":"Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx.webp","id":"Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx","name":"Women's Sparkle Suede Bahama in Silver Sparkle Suede / Grey Patent","category":"shoe","brand":"Sperry Top-Sider","width_m":0.2484,"height_m":0.0851,"depth_m":0.0894,"triangles":13136,"pack_bytes":307472,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx/Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx.glb"}
+{"file_name":"Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9.webp","id":"Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9","name":"Women's Suede Bahama in Graphite Suede","category":"shoe","brand":"Sperry Top-Sider","width_m":0.255,"height_m":0.0845,"depth_m":0.0892,"triangles":12208,"pack_bytes":201160,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9/Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9.glb"}
+{"file_name":"Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R.webp","id":"Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R","name":"Women's Suede Bahama in Graphite Suede","category":"shoe","brand":"Sperry Top-Sider","width_m":0.1184,"height_m":0.0796,"depth_m":0.2947,"triangles":10528,"pack_bytes":217384,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R/Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R.glb"}
+{"file_name":"Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX.webp","id":"Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX","name":"Women's Suede Bahama in Graphite Suede","category":"shoe","brand":"Sperry Top-Sider","width_m":0.0877,"height_m":0.0724,"depth_m":0.2557,"triangles":18034,"pack_bytes":243656,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX/Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX.glb"}
+{"file_name":"Womens_Teva_Capistrano_Bootie.webp","id":"Womens_Teva_Capistrano_Bootie","name":"Women's Teva Capistrano Bootie","category":"shoe","brand":"Women\\'s","width_m":0.1014,"height_m":0.1912,"depth_m":0.2905,"triangles":19818,"pack_bytes":256156,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Teva_Capistrano_Bootie/Womens_Teva_Capistrano_Bootie.glb"}
+{"file_name":"Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht.webp","id":"Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht","name":"Women's Teva Capistrano Bootie","category":"shoe","brand":"Women\\'s","width_m":0.0991,"height_m":0.1912,"depth_m":0.2927,"triangles":20664,"pack_bytes":259056,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht/Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht.glb"}
+{"file_name":"Wooden_ABC_123_Blocks_50_pack.webp","id":"Wooden_ABC_123_Blocks_50_pack","name":"Wooden ABC 123 Blocks - 50 pack","category":"toy","brand":"Melissa & Doug","width_m":0.2139,"height_m":0.1232,"depth_m":0.0626,"triangles":16908,"pack_bytes":580564,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Wooden_ABC_123_Blocks_50_pack/Wooden_ABC_123_Blocks_50_pack.glb"}
+{"file_name":"Wrigley_Orbit_Mint_Variety_18_Count.webp","id":"Wrigley_Orbit_Mint_Variety_18_Count","name":"Wrigley Orbit Mint Variety 18 Count","category":"food and drink","brand":"Wrigley","width_m":0.1946,"height_m":0.229,"depth_m":0.051,"triangles":2634,"pack_bytes":311384,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Wrigley_Orbit_Mint_Variety_18_Count/Wrigley_Orbit_Mint_Variety_18_Count.glb"}
+{"file_name":"Xyli_Pure_Xylitol.webp","id":"Xyli_Pure_Xylitol","name":"Xyli Pure Xylitol","category":"bottles and cups","brand":"Jarrow Formulas","width_m":0.097,"height_m":0.1471,"depth_m":0.095,"triangles":5536,"pack_bytes":198572,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/Xyli_Pure_Xylitol/Xyli_Pure_Xylitol.glb"}
+{"file_name":"YumYum_D3_Liquid.webp","id":"YumYum_D3_Liquid","name":"Yum-Yum D3 Liquid","category":"food and drink","brand":"Jarrow Formulas","width_m":0.0333,"height_m":0.1001,"depth_m":0.0344,"triangles":3790,"pack_bytes":214768,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/YumYum_D3_Liquid/YumYum_D3_Liquid.glb"}
+{"file_name":"ZigKick_Hoops.webp","id":"ZigKick_Hoops","name":"ZigKick Hoops","category":"shoe","brand":"Reebok","width_m":0.1176,"height_m":0.1607,"depth_m":0.2792,"triangles":26360,"pack_bytes":371472,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/ZigKick_Hoops/ZigKick_Hoops.glb"}
+{"file_name":"ZX700_lYiwcTIekXk.webp","id":"ZX700_lYiwcTIekXk","name":"ZX700","category":"shoe","brand":"Adidas","width_m":0.1106,"height_m":0.1372,"depth_m":0.2938,"triangles":29206,"pack_bytes":338812,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/ZX700_lYiwcTIekXk/ZX700_lYiwcTIekXk.glb"}
+{"file_name":"ZX700_mf9Pc06uL06.webp","id":"ZX700_mf9Pc06uL06","name":"ZX700","category":"shoe","brand":"Adidas","width_m":0.1097,"height_m":0.1319,"depth_m":0.2928,"triangles":34414,"pack_bytes":385840,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/ZX700_mf9Pc06uL06/ZX700_mf9Pc06uL06.glb"}
+{"file_name":"ZX700_mzGbdP3u6JB.webp","id":"ZX700_mzGbdP3u6JB","name":"ZX700","category":"shoe","brand":"Adidas","width_m":0.1084,"height_m":0.1313,"depth_m":0.2918,"triangles":32970,"pack_bytes":334172,"license":"CC-BY-4.0","glb":"https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/objects/ZX700_mzGbdP3u6JB/ZX700_mzGbdP3u6JB.glb"}
diff --git a/viewer/app.js b/viewer/app.js
new file mode 100644
index 0000000000000000000000000000000000000000..5cdc0b6988a4d8f4f00d8a0261fc25977ab1f643
--- /dev/null
+++ b/viewer/app.js
@@ -0,0 +1,317 @@
+// Browse the codepawl/scanned-objects-glb dataset and orbit any object. Thumbnails and glb files load from the dataset.
+// ?base=<url> points at another copy of the dataset files. Served from a local copy of the pack, it reads the files
+// next to the viewer folder.
+import * as THREE from 'three';
+import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js';
+import { OrbitControls } from 'three/addons/controls/OrbitControls.js';
+import { RoomEnvironment } from 'three/addons/environments/RoomEnvironment.js';
+import { MeshoptDecoder } from 'three/addons/libs/meshopt_decoder.module.js';
+
+const DATASET_BASE = 'https://huggingface.co/datasets/codepawl/scanned-objects-glb/resolve/main/';
+const SOURCE_BASE = 'https://app.gazebosim.org/GoogleResearch/fuel/models/';
+const isLocalCopy = ['localhost', '127.0.0.1', '[::1]'].includes(location.hostname);
+const fileBase = new URLSearchParams(location.search).get('base') ?? (isLocalCopy ? '../' : DATASET_BASE);
+const PAGE_SIZE = 120;
+
+const elements = {
+  browse: document.getElementById('browse'),
+  detail: document.getElementById('detail'),
+  query: document.getElementById('query'),
+  category: document.getElementById('category'),
+  count: document.getElementById('count'),
+  grid: document.getElementById('grid'),
+  sentinel: document.getElementById('sentinel'),
+  empty: document.getElementById('empty'),
+  canvas: document.getElementById('view'),
+  stageStatus: document.getElementById('stage-status'),
+  assetName: document.getElementById('asset-name'),
+  assetCategory: document.getElementById('asset-category'),
+  ratioValue: document.getElementById('ratio-value'),
+  stats: document.getElementById('stats'),
+  download: document.getElementById('download'),
+  downloadLabel: document.getElementById('download-label'),
+  copyCode: document.getElementById('copy-code'),
+  copyLabel: document.getElementById('copy-label'),
+  sourceLink: document.getElementById('source-link'),
+};
+
+// ---------- data ----------
+
+// One row per object: [id, name, category, brand, sizeX, sizeY, sizeZ, triangles, sourceBytes, bytes, massKg].
+function toObject(row) {
+  const [id, name, category, brand, sizeX, sizeY, sizeZ, triangles, sourceBytes, bytes, massKg] = row;
+  return {
+    id, name, category, brand, size: [sizeX, sizeY, sizeZ], triangles, sourceBytes, bytes, massKg,
+    searchText: `${id} ${name} ${category} ${brand ?? ''}`.toLowerCase().replaceAll('_', ' '),
+  };
+}
+
+const objects = (await (await fetch('./objects.json')).json()).map(toObject);
+const objectsById = new Map(objects.map((object) => [object.id, object]));
+
+function formatBytes(bytes) {
+  if (bytes >= 1e9) return `${(bytes / 1e9).toFixed(1)} GB`;
+  if (bytes >= 1e6) return `${(bytes / 1e6).toFixed(1)} MB`;
+  return `${Math.max(1, Math.round(bytes / 1e3))} KB`;
+}
+
+function formatSize(size) {
+  const centimetres = [...size].sort((first, second) => second - first).map((value) => value * 100);
+  return `${centimetres.map((value) => (value >= 10 ? value.toFixed(0) : value.toFixed(1))).join(' × ')} cm`;
+}
+
+const numberFormat = new Intl.NumberFormat('en-US');
+
+function capitalize(text) {
+  return text.charAt(0).toUpperCase() + text.slice(1);
+}
+
+function fileUrl(path) {
+  return `${fileBase}${path}`;
+}
+
+function modelPath(object) {
+  const encoded = encodeURIComponent(object.id);
+  return `objects/${encoded}/${encoded}.glb`;
+}
+
+// ---------- browse ----------
+
+function fillCategories() {
+  const counts = new Map();
+  for (const object of objects) counts.set(object.category, (counts.get(object.category) ?? 0) + 1);
+  const sorted = [...counts.entries()].sort((first, second) => second[1] - first[1] || first[0].localeCompare(second[0]));
+  const options = ['<option value="">All categories</option>'];
+  for (const [category, count] of sorted) options.push(`<option value="${category}">${capitalize(category)} (${count})</option>`);
+  elements.category.innerHTML = options.join('');
+}
+
+let filtered = objects;
+let shownCount = 0;
+
+function applyFilters() {
+  const terms = elements.query.value.trim().toLowerCase().split(/\s+/).filter(Boolean);
+  const category = elements.category.value;
+  filtered = objects.filter((object) => (!category || object.category === category)
+    && terms.every((term) => object.searchText.includes(term)));
+  elements.count.textContent = `${numberFormat.format(filtered.length)} objects`;
+  elements.empty.hidden = filtered.length > 0;
+  elements.grid.replaceChildren();
+  shownCount = 0;
+  showMore();
+}
+
+function makeTile(object) {
+  const item = document.createElement('li');
+  item.className = 'tile';
+  const link = document.createElement('a');
+  link.href = `#/m/${encodeURIComponent(object.id)}`;
+  link.title = object.name;
+  const image = document.createElement('img');
+  image.className = 'thumb';
+  image.loading = 'lazy';
+  image.alt = object.name;
+  image.src = fileUrl(`thumbs/${encodeURIComponent(object.id)}.webp`);
+  const meta = document.createElement('div');
+  meta.className = 'tile-meta';
+  const name = document.createElement('span');
+  name.className = 'tile-name';
+  name.textContent = object.name;
+  const size = document.createElement('span');
+  size.className = 'tile-size';
+  size.textContent = formatBytes(object.bytes);
+  meta.append(name, size);
+  link.append(image, meta);
+  item.append(link);
+  return item;
+}
+
+function showMore() {
+  const next = filtered.slice(shownCount, shownCount + PAGE_SIZE);
+  elements.grid.append(...next.map(makeTile));
+  shownCount += next.length;
+}
+
+new IntersectionObserver((entries) => {
+  if (entries.some((entry) => entry.isIntersecting) && shownCount < filtered.length && !elements.browse.hidden) showMore();
+}, { rootMargin: '800px' }).observe(elements.sentinel);
+
+elements.query.addEventListener('input', applyFilters);
+elements.category.addEventListener('change', applyFilters);
+
+// ---------- 3D view ----------
+
+let viewer = null;
+
+function createViewer() {
+  const renderer = new THREE.WebGLRenderer({ canvas: elements.canvas, antialias: true, alpha: true });
+  renderer.setPixelRatio(Math.min(window.devicePixelRatio, 2));
+  renderer.toneMapping = THREE.ACESFilmicToneMapping;
+  renderer.setClearColor(0x000000, 0);
+  const scene = new THREE.Scene();
+  scene.environment = new THREE.PMREMGenerator(renderer).fromScene(new RoomEnvironment(), 0.04).texture;
+  const keyLight = new THREE.DirectionalLight(0xfff2e0, 1.4);
+  keyLight.position.set(3.5, 5.5, 4.5);
+  scene.add(keyLight);
+  const camera = new THREE.PerspectiveCamera(30, 1, 0.01, 1000);
+  const controls = new OrbitControls(camera, elements.canvas);
+  controls.enableDamping = true;
+  const loader = new GLTFLoader().setMeshoptDecoder(MeshoptDecoder);
+
+  function resize() {
+    const { clientWidth, clientHeight } = elements.canvas;
+    if (clientWidth === 0 || clientHeight === 0) return;
+    renderer.setSize(clientWidth, clientHeight, false);
+    camera.aspect = clientWidth / clientHeight;
+    camera.updateProjectionMatrix();
+  }
+  new ResizeObserver(resize).observe(elements.canvas);
+
+  renderer.setAnimationLoop(() => {
+    if (elements.detail.hidden) return;
+    controls.update();
+    renderer.render(scene, camera);
+  });
+
+  return { renderer, scene, camera, controls, loader, model: null, loadToken: 0 };
+}
+
+function disposeTree(root) {
+  root.traverse((node) => {
+    if (!node.isMesh) return;
+    node.geometry.dispose();
+    node.material.map?.dispose();
+    node.material.dispose();
+  });
+}
+
+/** Seen from the front-right and a bit above, at a distance that fits the bounding sphere. */
+function frameModel(root) {
+  const { camera, controls } = viewer;
+  const box = new THREE.Box3().setFromObject(root);
+  const sphere = box.getBoundingSphere(new THREE.Sphere());
+  const distance = sphere.radius / Math.sin(THREE.MathUtils.degToRad(camera.fov / 2)) * 0.95;
+  const direction = new THREE.Vector3(Math.sin(0.61) * Math.cos(0.38), Math.sin(0.38), Math.cos(0.61) * Math.cos(0.38));
+  camera.position.copy(sphere.center).addScaledVector(direction, distance);
+  camera.near = sphere.radius / 100;
+  camera.far = sphere.radius * 100;
+  camera.updateProjectionMatrix();
+  controls.target.copy(sphere.center);
+  controls.minDistance = sphere.radius * 0.3;
+  controls.maxDistance = sphere.radius * 8;
+  controls.update();
+}
+
+const FAILED_ICON = '<svg viewBox="0 0 24 24" aria-hidden="true"><path d="M12 3 2 20h20L12 3z"/><path d="M12 10v4m0 3h.01"/></svg>';
+
+function setStageStatus(state, text) {
+  elements.stageStatus.className = `stage-status ${state}`;
+  if (state === 'loading') elements.stageStatus.innerHTML = `<span class="spinner"></span><span>${text}</span>`;
+  else if (state === 'failed') elements.stageStatus.innerHTML = `${FAILED_ICON}<span>${text}</span>`;
+  else elements.stageStatus.replaceChildren();
+}
+
+async function loadModel(object) {
+  viewer ??= createViewer();
+  const token = ++viewer.loadToken;
+  if (viewer.model) {
+    viewer.scene.remove(viewer.model);
+    disposeTree(viewer.model);
+    viewer.model = null;
+  }
+  setStageStatus('loading', 'Loading');
+  try {
+    const gltf = await viewer.loader.loadAsync(fileUrl(modelPath(object)), (event) => {
+      if (token !== viewer.loadToken) return;
+      const total = event.total || object.bytes;
+      setStageStatus('loading', `Loading ${Math.min(100, Math.round((event.loaded / total) * 100))}%`);
+    });
+    if (token !== viewer.loadToken) {
+      disposeTree(gltf.scene);
+      return;
+    }
+    viewer.model = gltf.scene;
+    viewer.scene.add(gltf.scene);
+    frameModel(gltf.scene);
+    setStageStatus('done', '');
+  } catch (error) {
+    if (token !== viewer.loadToken) return;
+    console.error(error);
+    setStageStatus('failed', 'This object did not load. Try again or download the file.');
+  }
+}
+
+// ---------- detail page ----------
+
+function statRow(label, value) {
+  return `<dt>${label}</dt><dd>${value}</dd>`;
+}
+
+function snippetFor(object) {
+  return [
+    "import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js';",
+    "import { MeshoptDecoder } from 'three/addons/libs/meshopt_decoder.module.js';",
+    '',
+    'const loader = new GLTFLoader().setMeshoptDecoder(MeshoptDecoder);',
+    `loader.load('${DATASET_BASE}${modelPath(object)}', (gltf) => scene.add(gltf.scene));`,
+  ].join('\n');
+}
+
+let currentObject = null;
+
+function showDetail(object) {
+  currentObject = object;
+  document.title = `${object.name} · Scanned Objects GLB`;
+  elements.assetName.textContent = object.name;
+  elements.assetCategory.textContent = [capitalize(object.category), object.brand].filter(Boolean).join(' · ');
+  elements.ratioValue.textContent = `${Math.round(object.sourceBytes / object.bytes)}× smaller`;
+  elements.stats.innerHTML = [
+    statRow('Real size', formatSize(object.size)),
+    statRow('File size', `<span class="before">${formatBytes(object.sourceBytes)} → </span>${formatBytes(object.bytes)}`),
+    statRow('Triangles', numberFormat.format(object.triangles)),
+    statRow('Texture', '<span class="before">4096 px PNG → </span>2048 px WebP'),
+    statRow('Estimated mass', `${object.massKg.toFixed(2)} kg`),
+  ].join('');
+  elements.download.href = `${fileUrl(modelPath(object))}?download=true`;
+  elements.downloadLabel.textContent = `Download .glb (${formatBytes(object.bytes)})`;
+  elements.copyLabel.textContent = 'Copy three.js code';
+  elements.sourceLink.href = `${SOURCE_BASE}${encodeURIComponent(object.id)}`;
+  loadModel(object);
+}
+
+elements.copyCode.addEventListener('click', async () => {
+  if (!currentObject) return;
+  try {
+    await navigator.clipboard.writeText(snippetFor(currentObject));
+    elements.copyLabel.textContent = 'Copied';
+  } catch {
+    elements.copyLabel.textContent = 'Copy blocked by the browser';
+  }
+});
+
+// ---------- routing ----------
+
+let browseScroll = 0;
+
+function route() {
+  const match = location.hash.match(/^#\/m\/(.+)$/);
+  const object = match ? objectsById.get(decodeURIComponent(match[1])) : null;
+  if (object) {
+    if (!elements.browse.hidden) browseScroll = window.scrollY;
+    elements.browse.hidden = true;
+    elements.detail.hidden = false;
+    window.scrollTo(0, 0);
+    showDetail(object);
+    return;
+  }
+  document.title = 'Scanned Objects GLB';
+  elements.detail.hidden = true;
+  elements.browse.hidden = false;
+  window.scrollTo(0, browseScroll);
+}
+
+fillCategories();
+applyFilters();
+window.addEventListener('hashchange', route);
+route();
+window.__ready = true;
diff --git a/viewer/index.html b/viewer/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..a37ab796df93fb40a7710fc300532e8307cc1515
--- /dev/null
+++ b/viewer/index.html
@@ -0,0 +1,83 @@
+<!doctype html>
+<html lang="en">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>Scanned Objects GLB</title>
+<meta name="description" content="Search and orbit web-ready Google Scanned Objects (glb, meshopt, WebP) at real-world scale.">
+<link rel="preconnect" href="https://fonts.googleapis.com">
+<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
+<link rel="stylesheet" href="./style.css">
+<script type="importmap">
+{
+  "imports": {
+    "three": "https://cdn.jsdelivr.net/npm/three@0.180.0/build/three.module.js",
+    "three/addons/": "https://cdn.jsdelivr.net/npm/three@0.180.0/examples/jsm/"
+  }
+}
+</script>
+</head>
+<body>
+<header class="top">
+  <a class="brand" href="#/">Scanned Objects GLB</a>
+  <p class="summary">1,033 real household scans at real size, web-ready. <strong>13.7 GB → 344.8 MB</strong>.</p>
+  <a class="dataset-link" href="https://huggingface.co/datasets/codepawl/scanned-objects-glb" target="_blank" rel="noopener">Dataset</a>
+</header>
+
+<main id="browse" class="browse">
+  <div class="filters">
+    <label class="search">
+      <svg viewBox="0 0 24 24" aria-hidden="true"><circle cx="11" cy="11" r="7"/><path d="m20 20-3.5-3.5"/></svg>
+      <input id="query" type="search" placeholder="Search 1,033 objects" autocomplete="off" spellcheck="false">
+    </label>
+    <select id="category" aria-label="Category"></select>
+    <span id="count" class="count"></span>
+  </div>
+  <ul id="grid" class="grid"></ul>
+  <div id="sentinel" class="sentinel"></div>
+  <p id="empty" class="empty" hidden>No object matches that search.</p>
+</main>
+
+<main id="detail" class="detail" hidden>
+  <a class="back" href="#/">
+    <svg viewBox="0 0 24 24" aria-hidden="true"><path d="M15 6l-6 6 6 6"/></svg>
+    All objects
+  </a>
+  <div class="detail-body">
+    <div class="stage">
+      <canvas id="view"></canvas>
+      <div id="stage-status" class="stage-status"></div>
+      <p class="stage-hint">Drag to orbit, scroll to zoom</p>
+    </div>
+    <aside class="facts">
+      <h1 id="asset-name" class="asset-name"></h1>
+      <p id="asset-category" class="asset-category"></p>
+      <div class="ratio">
+        <span id="ratio-value" class="ratio-value"></span>
+        <span class="ratio-label">than the source OBJ and PNG</span>
+      </div>
+      <dl id="stats" class="stats"></dl>
+      <div class="actions">
+        <a id="download" class="button primary" download>
+          <svg viewBox="0 0 24 24" aria-hidden="true"><path d="M12 4v11m-5-5 5 5 5-5M5 20h14"/></svg>
+          <span id="download-label">Download .glb</span>
+        </a>
+        <button id="copy-code" class="button" type="button">
+          <svg viewBox="0 0 24 24" aria-hidden="true"><rect x="8" y="8" width="12" height="12" rx="2"/><path d="M16 8V5a1 1 0 0 0-1-1H5a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h3"/></svg>
+          <span id="copy-label">Copy three.js code</span>
+        </button>
+      </div>
+      <a id="source-link" class="source-link" target="_blank" rel="noopener">Original on Gazebo Fuel</a>
+    </aside>
+  </div>
+</main>
+
+<footer class="credit">
+  Scans by Google, from <a href="https://app.gazebosim.org/GoogleResearch/fuel/collections/Scanned%20Objects%20by%20Google%20Research" target="_blank" rel="noopener">Google Scanned Objects</a>,
+  CC BY 4.0. Converted and compressed by <a href="https://huggingface.co/codepawl" target="_blank" rel="noopener">CodePawl</a>.
+  Brands and logos on the packaging belong to their owners.
+</footer>
+<script type="module" src="./app.js"></script>
+</body>
+</html>
diff --git a/viewer/objects.json b/viewer/objects.json
new file mode 100644
index 0000000000000000000000000000000000000000..3b87948e29a6faae51c9393b5b8d6a05f85902b7
--- /dev/null
+++ b/viewer/objects.json
@@ -0,0 +1 @@
+[["11pro_SL_TRX_FG","11pro SL TRX FG","shoe","adidas",0.0982,0.1179,0.2909,20706,11080117,277500,0.4578],["2_of_Jenga_Classic_Game","2 of Jenga Classic Game","board game","Hasbro",0.0789,0.2921,0.0844,8922,11510697,231924,0.4497],["30_CONSTRUCTION_SET","30 CONSTRUCTION SET","toy","PlanToys",0.2694,0.207,0.2247,23766,14414944,453468,1.0331],["3D_Dollhouse_Happy_Brother","3D Dollhouse Happy Brother","toy","3D Dollhouse",0.0594,0.0955,0.0308,14142,10593666,227960,0.0258],["3D_Dollhouse_Lamp","3D Dollhouse Lamp","toy","3D Dollhouse",0.048,0.1668,0.0466,10490,10164133,169616,0.0416],["3D_Dollhouse_Refrigerator","3D Dollhouse Refrigerator","toy","3D Dollhouse",0.0797,0.21,0.0735,3202,11639993,174244,0.2056],["3D_Dollhouse_Sink","3D Dollhouse Sink","toy","3D Dollhouse",0.0854,0.1311,0.0734,7978,10684111,165332,0.1239],["3D_Dollhouse_Sofa","3D Dollhouse Sofa","toy","3D Dollhouse",0.2096,0.1023,0.0868,15052,15865456,342856,0.2728],["3D_Dollhouse_Swing","3D Dollhouse Swing","toy","3D Dollhouse",0.1048,0.0921,0.0953,8876,11436764,198152,0.0798],["3D_Dollhouse_TablePurple","3D Dollhouse Table-Purple","toy","3D Dollhouse",0.098,0.0574,0.0901,6446,9129077,153220,0.0518],["3M_Antislip_Surfacing_Light_Duty_White","3M Antislip Surfacing; Light Duty; White","household","3M",0.1547,0.0287,0.1535,4750,11189445,169764,0.1423],["3M_Vinyl_Tape_Green_1_x_36_yd","3M Vinyl Tape, Green, 1\" x 36 yd","household","3M",0.1108,0.0267,0.1104,11422,8583771,132124,0.073],["45oz_RAMEKIN_ASST_DEEP_COLORS","4.5oz RAMEKIN ASST DEEP COLORS","kitchen","4.5oz",0.0897,0.044,0.09,15358,10714962,199472,0.1663],["5_HTP","5 HTP","bottles and cups","Jarrow Formulas",0.0531,0.0888,0.0525,8362,11160555,204464,0.0752],["50_BLOCKS","50 BLOCKS","toy","PlanToys",0.3558,0.1106,0.1461,10728,12644447,303476,0.5485],["60_CONSTRUCTION_SET","60 CONSTRUCTION SET","toy","PlanToys",0.1583,0.2253,0.3436,26126,15990008,595528,1.1387],["ACE_Coffee_Mug_Kristen_16_oz_cup","ACE Coffee Mug, Kristen, 16 oz cup","kitchen","ACE",0.1263,0.1349,0.0906,11224,10755866,234288,0.5664],["adistar_boost_m","adistar boost m","shoe","adidas",0.1126,0.1233,0.3047,32918,13287597,397192,0.5963],["adizero_5Tool_25","adizero 5-Tool 2.5","shoe","Adidas",0.1011,0.1543,0.29,27160,12788304,390160,0.5529],["adizero_F50_TRX_FG_LEA","adizero F50 TRX FG LEA","shoe","Adidas",0.0975,0.1092,0.2815,23144,10281247,288924,0.4101],["adiZero_Slide_2_SC","adiZero Slide 2 SC","shoe","adidas",0.153,0.0862,0.2912,13138,10098941,197644,0.3826],["Adrenaline_GTS_13_Color_DrkDenimWhtBachlorBttnSlvr_Size_50_yfK40TNjq0V","Adrenaline GTS 13, Color: DrkDenim/Wht/BachlorBttn/Slvr, Size: 5.0","shoe","Brooks Running",0.1118,0.1243,0.2881,45866,15399382,542616,0.5423],["Adrenaline_GTS_13_Color_WhtObsdianBlckOlmpcSlvr_Size_70","Adrenaline GTS 13, Color: Wht/Obsdian/Blck/Olmpc/Slvr, Size: 7.0","shoe","Brooks Running",0.1182,0.1307,0.3068,48412,17216596,650324,0.6421],["Air_Hogs_Wind_Flyers_Set_Airplane_Red","Air Hogs Wind Flyers Set, Airplane, Red","toy","Air Hogs",0.2683,0.0503,0.272,5762,10055757,201868,0.4346],["AllergenFree_JarroDophilus","Allergen-Free Jarro-Dophilus�","health and beauty","Jarrow Formulas",0.0539,0.096,0.0536,8126,11384646,236512,0.0842],["ALPHABET_AZ_GRADIENT","ALPHABET A-Z (GRADIENT)","toy","PlanToys",0.3323,0.0125,0.2778,14692,14657621,336872,0.1418],["ALPHABET_AZ_GRADIENT_WQb1ufEycSj","ALPHABET A-Z (GRADIENT)","toy","PlanToys",0.2762,0.0105,0.3319,13878,13767405,306680,0.122],["AMBERLIGHT_UP_W","AMBERLIGHT UP W","shoe","Adidas",0.1034,0.1796,0.2453,23444,12116845,332296,0.568],["Android_Figure_Chrome","Android Figure, Chrome","toy","Google",0.0691,0.0815,0.046,11836,9094531,154284,0.0208],["Android_Figure_Orange","Android Figure, Orange","toy","Google",0.066,0.0807,0.0459,9698,8409114,147516,0.0206],["Android_Figure_Panda","Android Figure, Panda","toy","Google",0.0608,0.0757,0.0463,10618,9125752,136260,0.02],["Android_Lego","Android Lego","toy","Lego",0.0968,0.1063,0.0218,14214,10084801,257144,0.0244],["Animal_Crossing_New_Leaf_Nintendo_3DS_Game","Animal Crossing: New Leaf [Nintendo 3DS Game]","media","Nintendo EAD",0.1372,0.0151,0.1249,2444,14206095,267908,0.0726],["Animal_Planet_Foam_2Headed_Dragon","Animal Planet Foam 2-Headed Dragon","toy","Animal Planet",0.1183,0.1998,0.4019,21978,17806591,620536,0.858],["Apples_to_Apples_Kids_Edition","Apples to Apples - Kids Edition","toy","Apples",0.1368,0.0641,0.2694,1690,16561040,364656,0.4255],["Arm_Hammer_Diaper_Pail_Refills_12_Pack_MFWkmoweejt","Arm Hammer Diaper Pail Refills 12 Pack","household","Munchkin",0.0858,0.1692,0.0952,2820,13971185,310060,0.4084],["Aroma_Stainless_Steel_Milk_Frother_2_Cup","Aroma Stainless Steel Milk Frother - 2 Cup","kitchen","Aroma",0.1423,0.1483,0.1577,21582,10849738,233320,1.2416],["ASICS_GEL1140V_WhiteBlackSilver","ASICS GEL-1140V™ - White/Black/Silver","shoe","Asics",0.1062,0.1231,0.2808,37508,13981653,423448,0.4925],["ASICS_GEL1140V_WhiteRoyalSilver","ASICS GEL-1140V™ - White/Royal/Silver","shoe","Asics",0.1057,0.1237,0.2807,38246,15801059,526944,0.5009],["ASICS_GELAce_Pro_Pearl_WhitePink","ASICS GEL-Ace™ Pro - Pearl White/Pink","shoe","Asics",0.1053,0.1336,0.2902,45698,15432616,546984,0.5665],["ASICS_GELBlur33_20_GS_BlackWhiteSafety_Orange","ASICS GEL-Blur33™ 2.0 GS - Black/White/Safety Orange","shoe","Asics",0.0995,0.0982,0.2543,39092,14770806,487188,0.3454],["ASICS_GELBlur33_20_GS_Flash_YellowHot_PunchSilver","ASICS GEL-Blur33™ 2.0 GS - Flash Yellow/Hot Punch/Silver","shoe","Asics",0.0991,0.1145,0.2537,30660,13318938,401296,0.3759],["ASICS_GELChallenger_9_Royal_BlueWhiteBlack","ASICS GEL-Challenger® 9 - Royal Blue/White/Black","shoe","Asics",0.113,0.115,0.2985,33438,13852832,447888,0.5454],["ASICS_GELDirt_Dog_4_SunFlameBlack","ASICS GEL-Dirt Dog® 4 - Sun/Flame/Black","shoe","Asics",0.1037,0.1097,0.2843,44502,16323243,662912,0.4142],["ASICS_GELLinksmaster_WhiteCoffeeSand","ASICS GEL-Linksmaster® - White/Coffee/Sand","shoe","Asics",0.1163,0.1413,0.2992,34586,13032950,397656,0.6366],["ASICS_GELLinksmaster_WhiteRasberryGunmetal","ASICS GEL-Linksmaster® - White/Rasberry/Gunmetal","shoe","Asics",0.1053,0.1202,0.2729,31266,13619996,407024,0.4636],["ASICS_GELLinksmaster_WhiteSilverCarolina_Blue","ASICS GEL-Linksmaster® - White/Silver/Carolina Blue","shoe","Asics",0.1068,0.1327,0.2729,34160,13790179,420632,0.475],["ASICS_GELResolution_5_Flash_YellowBlackSilver","ASICS GEL-Resolution® 5 - Flash Yellow/Black/Silver","shoe","Asics",0.1129,0.1143,0.2993,36694,14211074,430764,0.5446],["ASICS_GELTour_Lyte_WhiteOrchidSilver","ASICS GEL-Tour Lyte® - White/Orchid/Silver","shoe","Asics",0.1003,0.1219,0.2663,26000,12400251,378052,0.4172],["ASICS_HyperRocketgirl_SP_5_WhiteMalibu_BlueBlack","ASICS Hyper-Rocketgirl™ SP 5 - White/Malibu Blue/Black","shoe","Asics",0.0895,0.0903,0.2491,21152,13483953,363140,0.2723],["ASSORTED_VEGETABLE_SET","ASSORTED VEGETABLE SET","toy","PlanToys",0.2302,0.0752,0.1354,20336,16076140,483928,0.2165],["Asus_80211ac_DualBand_Gigabit_Wireless_Router_RTAC68R","Asus - 802.11ac Dual-Band Gigabit Wireless Router RT-AC68R","electronics","ASUS",0.3188,0.2388,0.099,17458,18099415,535080,2.9391],["Asus_M5A78LMUSB3_Motherboard_Micro_ATX_Socket_AM3","Asus M5A78L-M/USB3 Motherboard Micro ATX Socket AM3+","electronics","Asus",0.2767,0.2672,0.0657,16504,17388464,521236,1.2621],["Asus_M5A99FX_PRO_R20_Motherboard_ATX_Socket_AM3","Asus M5A99FX PRO R2.0 Motherboard ATX Socket AM3+","electronics","Asus",0.3346,0.2681,0.0741,9370,19834664,647136,1.9506],["Asus_Sabertooth_990FX_20_Motherboard_ATX_Socket_AM3","Asus Sabertooth 990FX 2.0  Motherboard ATX Socket AM3+","electronics","Asus",0.3502,0.2774,0.0846,1708,18355049,483468,2.3634],["Asus_Sabertooth_Z97_MARK_1_Motherboard_ATX_LGA1150_Socket","Asus Sabertooth Z97 MARK 1 - Motherboard - ATX - LGA1150 Socket","electronics","Asus",0.3506,0.2764,0.0894,3184,18573171,469980,2.3816],["Asus_X99Deluxe_Motherboard_ATX_LGA2011v3_Socket","Asus X99-Deluxe  Motherboard ATX LGA2011-v3 Socket","electronics","Asus",0.3503,0.2762,0.0872,2838,19133248,469500,2.4318],["Asus_Z87PRO_Motherboard_ATX_LGA1150_Socket","Asus Z87-PRO Motherboard ATX LGA1150 Socket","electronics","Asus",0.3342,0.2693,0.0821,3592,18620394,496172,1.8961],["Asus_Z97AR_LGA_1150_Intel_ATX_Motherboard","Asus Z97-AR LGA 1150 Intel ATX Motherboard","electronics","Asus",0.3341,0.2677,0.0727,5896,15812966,385280,1.9166],["Asus_Z97IPLUS_Motherboard_Mini_ITX_LGA1150_Socket","Asus Z97I-PLUS Motherboard Mini ITX LGA1150 Socket","electronics","Asus",0.2315,0.1896,0.0997,34176,18567894,539484,1.3087],["Avengers_Gamma_Green_Smash_Fists","Avengers Gamma Green Smash Fists","toy","Hasbro",0.36,0.1835,0.1238,18402,13726850,252468,0.9831],["Avengers_Thor_PLlrpYniaeB","Avengers Thor","toy","test",0.283,0.1326,0.2809,10822,10000305,194528,1.7698],["Azure_Snake_Tieks_Leather_Snake_Print_Ballet_Flats","Azure Snake Tieks - 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12 - 12 fl oz (355 ml) cans [144 fl oz (426 lt)]","food and drink","Nikon",0.4029,0.1295,0.1411,3634,18641495,562744,3.4915],["Brother_Ink_Cartridge_Magenta_LC75M","Brother Ink Cartridge, Magenta LC75M","electronics","Brother",0.0878,0.1472,0.0309,4782,15186584,302800,0.1224],["Brother_LC_1053PKS_Ink_Cartridge_CyanMagentaYellow_1pack","Brother LC 1053PKS Ink Cartridge, Cyan/Magenta/Yellow - 1-pack","electronics","Brother",0.0989,0.1449,0.0553,5762,14481533,353940,0.2695],["Brother_Printing_Cartridge_PC501","Brother Printing Cartridge, PC-501","electronics","Brother",0.2559,0.1203,0.0566,4816,14603456,326712,0.6881],["BUILD_A_ROBOT","BUILD -A- ROBOT","toy","PlanToys",0.2925,0.1327,0.1289,11724,11692662,278860,0.3607],["BUILD_A_ZOO","BUILD A ZOO","toy","PlanToys",0.1432,0.2183,0.0223,12958,12654522,339180,0.1129],["BUNNY_RACER","BUNNY RACER","toy","PlanToys",0.0916,0.1115,0.088,12146,13710247,320564,0.0834],["BUNNY_RATTLE","BUNNY RATTLE","toy","PlanToys",0.0746,0.1147,0.0819,11316,12413040,260832,0.04],["California_Navy_Tieks_Italian_Leather_Ballet_Flats","California Navy Tieks - 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Medium","household","Target",0.2705,0.2175,0.268,85812,20547016,1076856,4.0892],["TEA_SET","TEA SET","toy","PlanToys",0.2609,0.0966,0.1551,14476,14225857,370024,0.3398],["Teenage_Mutant_Ninja_Turtles_Rahzar_Action_Figure","Teenage Mutant Ninja Turtles Rahzar Action Figure","toy","Playmates Toys",0.0707,0.1386,0.0823,28442,15882041,461148,0.0729],["Tena_Pads_Heavy_Long_42_pads","Tena Pads, Heavy, Long - 42 pads","health and beauty","Sony Ericsson",0.3781,0.2921,0.129,7920,11306071,288176,3.621],["TERREX_FAST_R","TERREX FAST R","shoe","adidas",0.1128,0.1314,0.3031,39346,12505927,389780,0.6205],["TERREX_FAST_X_GTX","TERREX FAST X GTX","shoe","adidas",0.1164,0.1547,0.3074,36824,13349546,424008,0.7386],["Tetris_Link_Game","Tetris Link Game","board game","Techno Source",0.3231,0.2671,0.0916,3192,16460772,390920,1.8845],["The_Coffee_Bean_Tea_Leaf_KCup_Packs_Jasmine_Green_Tea_16_count","The Coffee Bean & Tea Leaf K-Cup Packs, Jasmine Green Tea - 16 count","kitchen","The Coffee Bean & Tea 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Top-Sider",0.0973,0.0743,0.2453,18644,10793637,244236,0.2683],["Womens_Authentic_Original_Boat_Shoe_in_Classic_Brown_Leather_cJSCWiH7QmB","Women's Authentic Original Boat Shoe in Classic Brown Leather","shoe","Sperry Top-Sider",0.0885,0.0734,0.2465,19216,11005530,250272,0.2661],["Womens_Authentic_Original_Boat_Shoe_in_Navy_Deerskin_50lWJaLWG8R","Women's Authentic Original Boat Shoe in Navy Deerskin","shoe","Sperry Top-Sider",0.259,0.0801,0.097,18998,11292460,267940,0.3306],["Womens_Betty_Chukka_Boot_in_Grey_Jersey_Sequin","Women's Betty Chukka Boot in Grey Jersey Sequin","shoe","Sperry Top-Sider",0.0918,0.1193,0.2496,18206,11404356,253124,0.3707],["Womens_Betty_Chukka_Boot_in_Navy_aEE8OqvMII4","Women's Betty Chukka Boot in Navy","shoe","Sperry Top-Sider",0.0922,0.1127,0.2479,22772,14373737,387820,0.3629],["Womens_Betty_Chukka_Boot_in_Navy_Jersey_Sequin_y0SsHk7dKUX","Women's Betty Chukka Boot in Navy Jersey Sequin","shoe","Sperry Top-Sider",0.0903,0.1122,0.2483,20268,13697446,391764,0.3498],["Womens_Betty_Chukka_Boot_in_Salt_Washed_Red_AL2YrOt9CRy","Women's Betty Chukka Boot in Salt Washed Red","shoe","Sperry Top-Sider",0.0945,0.1126,0.2474,17996,13999518,383156,0.375],["Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_i1TgjjO0AKY","Women's Bluefish 2-Eye Boat Shoe in Brown Deerskin","shoe","Sperry Top-Sider",0.0983,0.0822,0.2491,20328,13509649,323108,0.2736],["Womens_Bluefish_2Eye_Boat_Shoe_in_Brown_Deerskin_JJ2pfEHTZG7","Women's Bluefish 2-Eye Boat Shoe in Brown Deerskin","shoe","Sperry Top-Sider",0.1051,0.0892,0.2887,25088,11238398,291980,0.3837],["Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_kqi81aojcOR","Women's Bluefish 2-Eye Boat Shoe in Linen / Natural Sparkle Suede","shoe","Sperry Top-Sider",0.2498,0.0864,0.0921,19938,13339796,358816,0.2946],["Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Natural_Sparkle_Suede_w34KNQ41csH","Women's Bluefish 2-Eye Boat Shoe in Linen / Natural Sparkle Suede","shoe","Sperry Top-Sider",0.0924,0.0829,0.2496,17972,11060139,251072,0.2871],["Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat","Women's Bluefish 2-Eye Boat Shoe in Linen Oat","shoe","Sperry Top-Sider",0.0938,0.0829,0.2434,19904,12592818,399424,0.2755],["Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_IbrSyJdpT3h","Women's Bluefish 2-Eye Boat Shoe in Linen Oat","shoe","Sperry Top-Sider",0.0881,0.0797,0.2472,16578,11882151,292728,0.2666],["Womens_Bluefish_2Eye_Boat_Shoe_in_Linen_Oat_niKJKeWsmxY","Women's Bluefish 2-Eye Boat Shoe in Linen Oat","shoe","Sperry Top-Sider",0.2474,0.0803,0.0892,16458,12489573,303932,0.2681],["Womens_Bluefish_2Eye_Boat_Shoe_in_Tan","Women's Bluefish 2-Eye Boat Shoe in Tan","shoe","Sperry Top-Sider",0.2493,0.0897,0.0899,21022,13182343,339524,0.2757],["Womens_Bluefish_2Eye_Boat_Shoe_in_White_Tumbled_YG44xIePRHw","Women's Bluefish 2-Eye Boat Shoe in  White Tumbled","bottles and cups","Sperry Top-Sider",0.2507,0.0869,0.0888,27864,12007662,374852,0.4342],["Womens_Canvas_Bahama_in_Black","Women's Canvas Bahama in Black","shoe","Sperry Top-Sider",0.2433,0.0825,0.0873,15574,11034475,228572,0.254],["Womens_Canvas_Bahama_in_Black_vnJULsDVyq5","Women's Canvas Bahama in Black","shoe","Sperry Top-Sider",0.0861,0.0776,0.2437,16170,11320998,241212,0.2533],["Womens_Canvas_Bahama_in_White_4UyOhP6rYGO","Women's Canvas Bahama in White","shoe","Sperry Top-Sider",0.0901,0.08,0.2448,12688,11019243,214456,0.256],["Womens_Canvas_Bahama_in_White_UfZPHGQpvz0","Women's Canvas Bahama in White","shoe","Sperry Top-Sider",0.2441,0.0802,0.0878,13010,10283113,190280,0.255],["Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_8LigQYwf4gr","Women's Cloud Logo Authentic Original Boat Shoe in Black Supersoft","shoe","Sperry Top-Sider",0.2472,0.0746,0.0913,26776,13041723,354808,0.2571],["Womens_Cloud_Logo_Authentic_Original_Boat_Shoe_in_Black_Supersoft_cZR022qFI4k","Women's Cloud Logo Authentic Original Boat Shoe in Black Supersoft","shoe","Sperry Top-Sider",0.0938,0.0748,0.2481,23766,11709810,287032,0.2626],["Womens_Hikerfish_Boot_in_Black_Leopard_bVSNY1Le1sm","Women's Hikerfish Boot in Black / Leopard","shoe","Sperry Top-Sider",0.2481,0.1868,0.0908,27230,13033322,357188,0.6504],["Womens_Hikerfish_Boot_in_Black_Leopard_ridcCWsv8rW","Women's Hikerfish Boot in Black / Leopard","shoe","Sperry Top-Sider",0.1152,0.1878,0.2443,24584,12187454,314132,0.608],["Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_imlP8VkwqIH","Women's Hikerfish Boot in Linen Leather / Sparkle Suede","shoe","Sperry Top-Sider",0.0905,0.1932,0.2485,20658,12908421,356700,0.655],["Womens_Hikerfish_Boot_in_Linen_Leather_Sparkle_Suede_QktIyAkonrU","Women's Hikerfish Boot in Linen Leather / Sparkle Suede","shoe","Sperry Top-Sider",0.2489,0.1925,0.0897,20600,14462257,402076,0.6522],["Womens_Multi_13","Women's Multi 1-3","bottles and cups","Jarrow Formulas",0.0616,0.1132,0.0616,10530,11931102,269184,0.1335],["Womens_Sequin_Bahama_in_White_Sequin_V9K1hf24Oxe","Women's Sequin Bahama in White Sequin","shoe","Sperry Top-Sider",0.2491,0.0869,0.0883,13638,11566786,246772,0.2708],["Womens_Sequin_Bahama_in_White_Sequin_XoR8xTlxj1g","Women's Sequin Bahama in White Sequin","shoe","Sperry Top-Sider",0.0914,0.1135,0.2447,23926,13500249,382328,0.3501],["Womens_Sequin_Bahama_in_White_Sequin_yGVsSA4tOwJ","Women's Sequin Bahama in White Sequin","shoe","Sperry Top-Sider",0.1013,0.1062,0.2467,16678,10643217,237952,0.3274],["Womens_Sparkle_Suede_Angelfish_in_Grey_Sparkle_Suede_Silver","Women's Sparkle Suede Angelfish in Grey Sparkle Suede / Silver","shoe","Sperry Top-Sider",0.1036,0.0774,0.2391,18986,13328381,350020,0.2501],["Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_tYrIBLMhSTN","Women's Sparkle Suede Bahama in Silver Sparkle Suede / Grey Patent","shoe","Sperry Top-Sider",0.0942,0.0889,0.2486,14916,11722160,274888,0.2837],["Womens_Sparkle_Suede_Bahama_in_Silver_Sparkle_Suede_Grey_Patent_x9rclU7EJXx","Women's Sparkle Suede Bahama in Silver Sparkle Suede / Grey Patent","shoe","Sperry Top-Sider",0.2484,0.0851,0.0894,13136,12814358,307472,0.2706],["Womens_Suede_Bahama_in_Graphite_Suede_cUAjIMhWSO9","Women's Suede Bahama in Graphite Suede","shoe","Sperry Top-Sider",0.255,0.0845,0.0892,12208,10319282,201160,0.2758],["Womens_Suede_Bahama_in_Graphite_Suede_p1KUwoWbw7R","Women's Suede Bahama in Graphite Suede","shoe","Sperry Top-Sider",0.1184,0.0796,0.2947,10528,10872172,217384,0.3484],["Womens_Suede_Bahama_in_Graphite_Suede_t22AJSRjBOX","Women's Suede Bahama in Graphite Suede","shoe","Sperry Top-Sider",0.0877,0.0724,0.2557,18034,11104900,243656,0.2568],["Womens_Teva_Capistrano_Bootie","Women's Teva Capistrano Bootie","shoe","Women\\'s",0.1014,0.1912,0.2905,19818,11879558,256156,0.7674],["Womens_Teva_Capistrano_Bootie_ldjRT9yZ5Ht","Women's Teva Capistrano Bootie","shoe","Women\\'s",0.0991,0.1912,0.2927,20664,11757218,259056,0.7422],["Wooden_ABC_123_Blocks_50_pack","Wooden ABC 123 Blocks - 50 pack","toy","Melissa & Doug",0.2139,0.1232,0.0626,16908,20629103,580564,0.2808],["Wrigley_Orbit_Mint_Variety_18_Count","Wrigley Orbit Mint Variety 18 Count","food and drink","Wrigley",0.1946,0.229,0.051,2634,14510246,311384,0.6614],["Xyli_Pure_Xylitol","Xyli Pure Xylitol","bottles and cups","Jarrow Formulas",0.097,0.1471,0.095,5536,10371558,198572,0.4361],["YumYum_D3_Liquid","Yum-Yum D3 Liquid","food and drink","Jarrow Formulas",0.0333,0.1001,0.0344,3790,13121452,214768,0.0515],["ZigKick_Hoops","ZigKick Hoops","shoe","Reebok",0.1176,0.1607,0.2792,26360,12907373,371472,0.7286],["ZX700_lYiwcTIekXk","ZX700","shoe","Adidas",0.1106,0.1372,0.2938,29206,12089054,338812,0.5743],["ZX700_mf9Pc06uL06","ZX700","shoe","Adidas",0.1097,0.1319,0.2928,34414,13032298,385840,0.5904],["ZX700_mzGbdP3u6JB","ZX700","shoe","Adidas",0.1084,0.1313,0.2918,32970,11929401,334172,0.5436]]
\ No newline at end of file
diff --git a/viewer/style.css b/viewer/style.css
new file mode 100644
index 0000000000000000000000000000000000000000..df1116318082e6830e12220039d7da50228883da
--- /dev/null
+++ b/viewer/style.css
@@ -0,0 +1,463 @@
+:root {
+  --background: #f3f4f6;
+  --surface: #ffffff;
+  --tile: #e8eaed;
+  --ink: #15171a;
+  --muted: #5b616a;
+  --faint: #8a9099;
+  --accent: #0b7a5c;
+  --accent-ink: #ffffff;
+  --focus: #2f6fdb;
+  --danger: #c2372b;
+  --radius: 10px;
+  --sans: 'Inter', system-ui, -apple-system, 'Segoe UI', sans-serif;
+  --mono: 'JetBrains Mono', ui-monospace, Consolas, monospace;
+  color-scheme: light;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root:not([data-theme="light"]) {
+    --background: #101113;
+    --surface: #18191c;
+    --tile: #2a2c30;
+    --ink: #ececee;
+    --muted: #a3a8b0;
+    --faint: #737982;
+    --accent: #3fc79c;
+    --accent-ink: #06261c;
+    --focus: #7aa7ff;
+    --danger: #ff7a6b;
+    color-scheme: dark;
+  }
+}
+
+* { box-sizing: border-box; }
+
+html, body {
+  margin: 0;
+  background: var(--background);
+  color: var(--ink);
+  font-family: var(--sans);
+  font-size: 15px;
+  line-height: 1.45;
+}
+
+a { color: inherit; }
+
+svg {
+  width: 18px;
+  height: 18px;
+  fill: none;
+  stroke: currentColor;
+  stroke-width: 2;
+  stroke-linecap: round;
+  stroke-linejoin: round;
+  flex: none;
+}
+
+:focus-visible { outline: 2px solid var(--focus); outline-offset: 2px; }
+
+.top {
+  display: flex;
+  align-items: baseline;
+  gap: 16px;
+  padding: 20px 24px 8px;
+  max-width: 1440px;
+  margin: 0 auto;
+  user-select: none;
+}
+
+.brand {
+  font-weight: 700;
+  font-size: 18px;
+  text-decoration: none;
+  white-space: nowrap;
+}
+
+.summary {
+  margin: 0;
+  color: var(--muted);
+  flex: 1;
+  min-width: 0;
+}
+
+.summary strong { color: var(--accent); font-weight: 600; white-space: nowrap; }
+
+.dataset-link {
+  margin-left: auto;
+  color: var(--muted);
+  text-decoration: none;
+  white-space: nowrap;
+}
+
+.dataset-link:hover { color: var(--ink); }
+
+.browse, .detail {
+  max-width: 1440px;
+  margin: 0 auto;
+  padding: 8px 24px 24px;
+}
+
+.filters {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  padding: 8px 0 16px;
+  position: sticky;
+  top: 0;
+  z-index: 2;
+  background: var(--background);
+  user-select: none;
+}
+
+.search {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  flex: 0 1 420px;
+  height: 40px;
+  padding: 0 12px;
+  background: var(--surface);
+  border-radius: var(--radius);
+  color: var(--faint);
+}
+
+.search input {
+  flex: 1;
+  min-width: 0;
+  border: 0;
+  outline: 0;
+  background: transparent;
+  color: var(--ink);
+  font: inherit;
+}
+
+.search:focus-within { outline: 2px solid var(--focus); outline-offset: 0; }
+
+select {
+  height: 40px;
+  padding: 0 12px;
+  border: 0;
+  border-radius: var(--radius);
+  background: var(--surface);
+  color: var(--ink);
+  font: inherit;
+  max-width: 220px;
+}
+
+.count {
+  color: var(--faint);
+  font-variant-numeric: tabular-nums;
+  white-space: nowrap;
+}
+
+.grid {
+  list-style: none;
+  margin: 0;
+  padding: 0;
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(168px, 1fr));
+  gap: 12px;
+}
+
+.tile a {
+  display: block;
+  text-decoration: none;
+  border-radius: var(--radius);
+  user-select: none;
+}
+
+.tile .thumb {
+  width: 100%;
+  aspect-ratio: 1;
+  background-color: var(--tile);
+  background-size: 1000% 1000%;
+  background-repeat: no-repeat;
+  border-radius: var(--radius);
+  transition: transform 160ms cubic-bezier(0.2, 0, 0, 1);
+}
+
+@media (hover: hover) {
+  .tile a:hover .thumb { transform: scale(1.03); }
+}
+
+.tile-meta {
+  display: flex;
+  flex-direction: column;
+  gap: 2px;
+  padding: 6px 2px 0;
+  font-size: 12px;
+}
+
+.tile-name {
+  font-family: var(--mono);
+  overflow-wrap: break-word;
+  display: -webkit-box;
+  -webkit-line-clamp: 2;
+  -webkit-box-orient: vertical;
+  overflow: hidden;
+}
+
+.tile-size {
+  color: var(--faint);
+  font-variant-numeric: tabular-nums;
+  white-space: nowrap;
+}
+
+.sentinel { height: 1px; }
+
+.empty { color: var(--muted); padding: 48px 0; text-align: center; }
+
+.back {
+  display: inline-flex;
+  align-items: center;
+  gap: 4px;
+  padding: 8px 10px 8px 4px;
+  margin-bottom: 8px;
+  color: var(--muted);
+  text-decoration: none;
+  border-radius: 8px;
+  user-select: none;
+}
+
+.back:hover { color: var(--ink); background: var(--tile); }
+
+.detail-body {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) 340px;
+  gap: 24px;
+  align-items: start;
+}
+
+.stage {
+  position: relative;
+  aspect-ratio: 4 / 3;
+  max-height: calc(100vh - 140px);
+  width: 100%;
+  border-radius: 14px;
+  background: radial-gradient(ellipse at 50% 40%, var(--surface), var(--tile));
+  overflow: hidden;
+}
+
+.stage canvas { display: block; width: 100%; height: 100%; touch-action: none; }
+
+.stage-status {
+  position: absolute;
+  inset: 0;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 8px;
+  color: var(--muted);
+  pointer-events: none;
+  font-variant-numeric: tabular-nums;
+}
+
+.stage-status.failed { color: var(--danger); }
+
+.stage-hint {
+  position: absolute;
+  left: 16px;
+  bottom: 12px;
+  margin: 0;
+  font-size: 12px;
+  color: var(--faint);
+  pointer-events: none;
+  user-select: none;
+}
+
+.spinner {
+  width: 16px;
+  height: 16px;
+  border-radius: 50%;
+  border: 2px solid var(--faint);
+  border-top-color: transparent;
+  animation: spin 800ms linear infinite;
+}
+
+@keyframes spin { to { transform: rotate(360deg); } }
+
+@media (prefers-reduced-motion: reduce) {
+  .spinner { animation: none; }
+  .tile .thumb { transition: none; }
+}
+
+.facts { user-select: none; }
+
+.asset-name {
+  margin: 0;
+  font-family: var(--mono);
+  font-size: 18px;
+  font-weight: 500;
+  overflow-wrap: break-word;
+  user-select: text;
+}
+
+.asset-category { margin: 4px 0 20px; color: var(--muted); }
+
+.ratio {
+  display: flex;
+  flex-direction: column;
+  padding: 16px;
+  margin-bottom: 16px;
+  background: var(--surface);
+  border-radius: var(--radius);
+}
+
+.ratio-value {
+  font-size: 40px;
+  font-weight: 700;
+  letter-spacing: -0.02em;
+  line-height: 1.1;
+  color: var(--accent);
+  font-variant-numeric: tabular-nums;
+}
+
+.ratio-label { color: var(--muted); }
+
+.stats {
+  display: grid;
+  grid-template-columns: auto 1fr;
+  gap: 10px 16px;
+  margin: 0 0 20px;
+  padding: 16px;
+  background: var(--surface);
+  border-radius: var(--radius);
+}
+
+.stats dt { color: var(--muted); }
+
+.stats dd {
+  margin: 0;
+  text-align: right;
+  font-variant-numeric: tabular-nums;
+}
+
+.stats .before { color: var(--faint); }
+
+.actions { display: flex; flex-direction: column; gap: 8px; }
+
+.button {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  gap: 8px;
+  height: 42px;
+  padding: 0 16px;
+  border: 0;
+  border-radius: var(--radius);
+  background: var(--tile);
+  color: var(--ink);
+  font: inherit;
+  font-weight: 500;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.button:hover { filter: brightness(0.96); }
+
+.button.primary { background: var(--accent); color: var(--accent-ink); }
+
+.source-link {
+  display: inline-block;
+  margin-top: 16px;
+  color: var(--muted);
+  font-size: 13px;
+}
+
+.credit {
+  max-width: 1440px;
+  margin: 0 auto;
+  padding: 24px;
+  color: var(--faint);
+  font-size: 13px;
+}
+
+@media (max-width: 860px) {
+  .detail-body { grid-template-columns: 1fr; }
+  .stage { aspect-ratio: 1; }
+}
+
+@media (max-width: 600px) {
+  .top { flex-wrap: wrap; padding: 16px 16px 4px; gap: 4px 12px; }
+  .summary { order: 3; flex-basis: 100%; }
+  .browse, .detail { padding: 8px 16px 16px; }
+  .filters { flex-wrap: wrap; gap: 8px; }
+  .search { flex: 1 1 100%; }
+  select { flex: 1; max-width: none; }
+  .grid { grid-template-columns: repeat(auto-fill, minmax(140px, 1fr)); gap: 10px; }
+  .credit { padding: 16px; }
+}
+
+.parts {
+  margin: 0 0 20px;
+  padding: 12px 16px 16px;
+  background: var(--surface);
+  border-radius: var(--radius);
+}
+
+.parts-head { display: flex; align-items: center; gap: 4px; margin-bottom: 8px; }
+
+.parts-head h2 { flex: 1; margin: 0; font-size: 15px; font-weight: 600; }
+
+.quiet {
+  height: 30px;
+  padding: 0 10px;
+  border: 0;
+  border-radius: 8px;
+  background: transparent;
+  color: var(--muted);
+  font: inherit;
+  font-size: 13px;
+  font-weight: 500;
+  cursor: pointer;
+}
+
+.quiet:hover { color: var(--ink); background: var(--tile); }
+
+.part-list {
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+  max-height: 320px;
+  margin: 0 -4px;
+  padding: 0 8px 0 4px;
+  overflow-y: auto;
+  scrollbar-gutter: stable;
+  list-style: none;
+}
+
+.part label {
+  display: flex;
+  justify-content: space-between;
+  gap: 12px;
+  margin-bottom: 4px;
+  font-size: 13px;
+}
+
+.part output { color: var(--muted); font-variant-numeric: tabular-nums; }
+
+.part input { width: 100%; margin: 0; accent-color: var(--accent); }
+
+.toggle {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  height: 40px;
+  padding: 0 14px;
+  border: 0;
+  border-radius: var(--radius);
+  background: var(--surface);
+  color: var(--ink);
+  font: inherit;
+  white-space: nowrap;
+  cursor: pointer;
+}
+
+.toggle svg { width: 16px; height: 16px; color: var(--muted); }
+
+.toggle:hover { filter: brightness(0.97); }
+
+.toggle[aria-pressed="true"] { background: var(--accent); color: var(--accent-ink); }
+
+.toggle[aria-pressed="true"] svg { color: var(--accent-ink); }