projectsim/bottles-and-containers

Bottles & Containers

Try it before you download. Every item in this dataset is live in projectsim Lab: orbit each can, jar and mug at real scale, then grab the full USD (physics, PBR maps) or a GLB preview per asset. Jump straight to a class: Cans · Jars · Mugs.

Procedurally generated, sim-ready 3D tabletop containers - aluminium beverage cans, glass food jars, and ceramic coffee mugs - shipped as OpenUSD (.usda) with per-zone PBR maps, plus a static glTF (.glb) for tooling that doesn't read USD. Every variant carries real per-link mass, inertia and colliders authored from the class rig, with realistic packaging formats and standard sizes.

Motivation

Tabletop manipulation policies need containers that (a) look real, (b) sim-correctly in Isaac Sim / MuJoCo, and (c) span the distribution of sizes and materials a real robot encounters (cans in every common ml format, jars in mason / jam / pickle proportions, mugs in the diner-to-espresso range), not one shape re-textured. Public assets are either scanned singletons or category-generic props (no PBR, guessed masses). This dataset is our procedural pipeline's output: every variant has a spec that produces watertight geometry, sim-authored physics, and PBR textures.

What's included

Class	Count	Articulation	Materials
beverage_can	34	static (rolled seam + stay-tab fixed)	label (printed), lid, rim, bottom, tab
glass_jar	40	static (screw lid modelled fixed)	body (transparent glass), lid (painted steel), label (printed band)
mug	75	static (rigid handle)	body (ceramic), handle (ceramic), base

Total: 149 variants across 3 classes, ~3.1 GB.

Per-variant contents

assets/<class>/<vid>/
├── <vid>.usda            OpenUSD, textures referenced as ./textures/*.png
├── <vid>.glb             glTF binary, embedded textures, static pose
└── textures/*.png        PBR maps (base_color, normal, roughness, metallic)

Parametric variation covered

Every class is authored from a spec.json sampled deterministically from a (count, seed) pair; anchor rows are the class's presets and dimension extremes.

• beverage_can - thin-walled aluminium can with a necked top, rolled double-seam rim, dome bottom, and stay-tab. A can_format enum drives real-world formats: 330 ml (Ø66 x 115 mm), 355 ml (Ø66 x 122 mm), 440 ml (Ø66 x 149 mm), 500 ml (Ø66 x 168 mm), 568 ml UK pint (Ø66 x 189 mm), and slim/sleek variants where applicable. Label print varies (soda, beer, energy drink styles).
• glass_jar - cylindrical jar with a threaded neck and a metal screw lid. Real jam / pickle / mason-jar formats: 200 ml, 370 ml, 500 ml, 720 ml, 1000 ml. Slightly rounded shoulders, 2-3 shallow helical ridges at the thread. Painted-steel lid, printed label band.
• mug - ceramic coffee mug with a C-shaped handle. Body Ø65-95 mm, height 80-130 mm; capacity roughly 200-500 ml. Handle geometry sampled from a small library of C-shape parameters; base can be flat or slightly countersunk. Photoreal retexturing on one half, shader palette (cream/blue/red/black glaze) on the remainder.

The exact per-variant parameter values are not shipped in v1.

Generate your own

This dataset is sample output from the projectsim pipeline. For sim-ready assets of your objects, use the projectsim API:

• Standard asset - one image in, a sim-ready asset out
• Measured asset - mm-accurate, from a ChArUco-board capture
• Variation sets - procedural or high-fidelity families from a single object

Intended use

• Training and evaluating manipulation policies (grasp handle, pick can from tray, uncap-simulate on jars via a scripted lid replacement)
• Perception (segmentation, category ID, pose estimation) from synthetic renders
• Domain-randomization sources for tabletop and kitchen robotics pipelines
• Sim-based experimentation before scanning real containers
• Prototyping in Isaac Sim / MuJoCo / any USD-aware DCC

Tested simulators

Verified end-to-end:

• NVIDIA Isaac Sim 6.0.1 - loads <vid>.usda headless and GUI. Cans / jars / mugs stack, roll, and grasp under gravity with authored mass and friction.
• MuJoCo 3.11.0 - USD is not native; use our sibling MJCF drop or the sim-ready usd2mjcf converter (matching physics for static props).
• Blender 5.0 - USD and glTF import both work.

Physical properties - authored vs estimated

Property	How	Notes
Volume, COM, inertia	Computed from watertight mesh	Falls back to the convex hull for open-shell parts
Mass	Volume × density	Density per zone, classified by a material-analysis VLM. The VLM inspects the object's renders together with the zone names in context — e.g. reading a can body as aluminium, a jar body as soda-lime glass, a jar lid as painted tinplate, a mug body as glazed ceramic — and looks each zone's density up in a shared material table (aluminium ~2700, glass ~2500, tinplate ~7850, ceramic ~2400 kg/m³). Per-link mass = mesh volume × classified density.
Collision shape	Auto-classified per link	Author-time collision types per link, taken directly from the rig: • primitives (cylinder, box) where the rig is geometric — can bodies, jar bodies, mug bodies • convexHull for sealed volumes with a single graspable shape (jar lids, mug handles) • convexDecomposition with PhysX shrink-wrap for multi-part rigid props (mug + handle authored as one link but decomposed at load) • sdf (sdfResolution 256) for thin non-convex shells (jar shoulder, can neck)
Textures	4K PBR maps per zone (photoreal retexturing on one half; curated shader palette on the other)	Zone-mapped so a downstream engine can rebind materials per zone. Glass jar body renders with an authored OpenGlass MDL surface in Isaac; a translucent UsdPreviewSurface elsewhere.
max_mass_kg	Cavity volume × water density	Meta-only hint for pick-and-place - not the physics mass. Cans and jars carry their advertised capacity by size enum.

Limitations

• Physics is in the .usda, not the .glb. glTF has no physics equivalent - the .glb is a visual copy (static pose, single mesh per link, no colliders). Use it for previews, tooling that can't read USD, Blender/Unity/three.js/model-viewer; use the .usda for simulation.
• All three classes are static props - jar lids and can tabs are welded rigid, mug handles are rigid extensions of the body. Open / uncap behaviours are out of scope for v1.

License

Files: CC BY 4.0 - free to use, share, and adapt for any purpose, including commercial use; attribution required.

Citation

@dataset{kaedim_bottles_and_containers_2026,
  author = {{Kaedim} and {projectsim}},
  title = {Bottles \& Containers},
  year = {2026},
  publisher = {Hugging Face},
  version = {1.0},
  url = {https://huggingface.co/datasets/projectsim/bottles-and-containers}
}

Maintenance

New classes and variants are added as separate top-level assets/<class>/ folders; the on-disk <vid> prefix is stable across future commits - a v03_glass_jar_... today will be the same asset next release. Regressions are republished as an additive commit; assets are only ever removed with a version bump.

Issues / questions: open a Discussion on this dataset repo, or email support@kaedim3d.com.