Datasets:

quailrobot
/

jars-v1-sample

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 # QM Synthetic Glass Jars (5 types + attributes) - Free Sample
 Synthetic photos of glass jars (5 jar types) with YOLO bounding boxes and per-object attributes (tint, lid, contents, fill level), for retail shelf, kitchen robotics and inventory models; the paid full edition can be used commercially.
 ## What's inside

 ---
 # QM Synthetic Glass Jars (5 types + attributes) - Free Sample
+<!-- qm-buy:start -->
+**Buy the full commercial edition: $25 USD -> [Polar checkout, instant download](https://buy.polar.sh/polar_cl_7qTni7LxfUbHsqVdcX93IKNhEZa9ieFHwHxWq36r8ej)**  Also on [Gumroad](https://quailcraft1.gumroad.com/l/synthetic-glass-jars).
+This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.
+## Custom dataset of YOUR object ($249)
+**Need data of YOUR object? Custom synthetic dataset, $249 USD -> [order on Polar](https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9)**
+- What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
+- Licence: commercial use allowed
+- Price: $249 USD one-time; one round of adjustments included
+- Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
+- Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
+- Refund: full refund if we cannot deliver your request (14-day refund policy)
+- Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
+- Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
+- Details + contact: https://quailrobot-quailmodel.static.hf.space
+## Summary
+Synthetic photos of glass jars (5 jar types) with YOLO bounding boxes and per-object attributes (tint, lid, contents, fill level), for retail shelf, kitchen robotics and inventory models; the paid full edition can be used commercially.
+- Best for: jar detection / attribute pre-training, robot grasping research, inventory demos
+- Not for: recognising specific commercial brands or labels
+## Quick start
+```python
+# pip install huggingface_hub ultralytics
+from huggingface_hub import snapshot_download
+path = snapshot_download("quailrobot/jars-v1-sample", repo_type="dataset")
+from ultralytics import YOLO
+YOLO("yolov8n.pt").train(data=f"{path}/data.yaml", epochs=50, imgsz=640)
+```
+## Facts
+- Task: object detection (YOLO format) + attribute labels
+- Labels: 5 classes: 0 mason_jar, 1 apothecary_jar, 2 spice_jar, 3 hex_jar, 4 squat_jam_jar; attributes in meta/ (tint, lid colour/type, contents, fill level, height)
+- Full edition size: 5,000 images 640x640 (train 3,975 / val 529 / test 496) with YOLO labels + attribute JSON (zip 98.4 MB)
+- Free sample size: 300 images (train 237 / val 34 / test 29)
+- Format: 640x640 JPEG images + YOLO txt labels + data.yaml (Ultralytics-ready)
+- What's included (full edition): images/{train,val,test}, labels/{train,val,test}, meta/{train,val,test} (per-object attribute JSON), data.yaml, README.md, LICENSE.txt
+- Price: $25 USD; checkout may display the equivalent in your local currency
+- Buy URL (primary): https://buy.polar.sh/polar_cl_7qTni7LxfUbHsqVdcX93IKNhEZa9ieFHwHxWq36r8ej
+- Buy URL (secondary, also on Gumroad): https://quailcraft1.gumroad.com/l/synthetic-glass-jars
+- Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
+- Licence (free sample): CC-BY-NC-SA-4.0
+- Validation: Labels are computed from exact projected 3D mesh vertices with ray-cast occlusion checks (no hand labelling). No benchmark on real photos has been published for this dataset yet.
+- Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
+- Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
+- Last updated: 2026-10-10
+## Validation
+Labels are computed from exact projected 3D mesh vertices with ray-cast occlusion checks (no hand labelling). No benchmark on real photos has been published for this dataset yet.
+## Price & licence
+- Full edition: $25 USD. One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_7qTni7LxfUbHsqVdcX93IKNhEZa9ieFHwHxWq36r8ej (also on Gumroad: https://quailcraft1.gumroad.com/l/synthetic-glass-jars)
+- QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
+- Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.
+## Limitations
+- Synthetic renders (Cycles path tracing): fine-tune on real photos before production.
+- Five original jar families only - not brand-specific products.
+<!-- qm-buy:end -->
 Synthetic photos of glass jars (5 jar types) with YOLO bounding boxes and per-object attributes (tint, lid, contents, fill level), for retail shelf, kitchen robotics and inventory models; the paid full edition can be used commercially.
 ## What's inside