Datasets:

quailrobot
/

parcels-v1-sample

cls stringclasses 5 values	bbox listlengths 4 4	visible float64 0.08 1	size_cm listlengths 3 3	has_label bool 2 classes	taped bool 2 classes	damaged bool 2 classes
cardboard_box	[ 0.2221086398, 0.5085648596, 0.0627694577, 0.0540346503 ]	1	[ 28, 16, 12 ]	true	true	false
plastic_tote	[ 0.4063923806, 0.4812336415, 0.1082925498, 0.0834891498 ]	1	[ 35, 31, 24 ]	false	false	false
cardboard_box	[ 0.731357038, 0.5311777443, 0.0961000919, 0.1027531326 ]	1	[ 22, 15, 25 ]	false	true	false
cardboard_box	[ 0.2907667011, 0.4540785849, 0.0754720271, 0.0860766768 ]	1	[ 24, 19, 33 ]	true	true	false
plastic_tote	[ 0.5718981326, 0.4760424495, 0.1032288671, 0.0646384954 ]	1	[ 36, 37, 17 ]	false	false	false
shipping_tube	[ 0.6333488822, 0.6233169436, 0.1002486944, 0.1707355976 ]	1	[ 79, 10, 10 ]	false	false	false
shipping_tube	[ 0.635588482, 0.419912219, 0.728823036, 0.5083165169 ]	1	[ 89, 7, 7 ]	false	false	false
shipping_tube	[ 0.2540668622, 0.5291913152, 0.1417551488, 0.0682387352 ]	1	[ 44, 10, 10 ]	false	false	false
shipping_tube	[ 0.8338492513, 0.8804849535, 0.3323014975, 0.1794896722 ]	1	[ 65, 8, 8 ]	false	false	false
plastic_tote	[ 0.3617522866, 0.452963531, 0.2275953591, 0.1907014847 ]	1	[ 53, 34, 15 ]	false	false	false
shipping_tube	[ 0.1663395846, 0.6488220394, 0.2890146803, 0.1210283041 ]	1	[ 63, 11, 11 ]	false	false	false
shipping_tube	[ 0.6736482978, 0.4023247063, 0.1866309643, 0.1070951819 ]	0.96	[ 65, 6, 6 ]	false	false	false
poly_mailer	[ 0.7197161019, 0.625200808, 0.0890355706, 0.1346255541 ]	1	[ 36, 16, 2 ]	false	false	false
shipping_tube	[ 0.4971257001, 0.774380371, 0.18647632, 0.1468420923 ]	1	[ 42, 10, 10 ]	false	false	false
plastic_tote	[ 0.8407644928, 0.4845571369, 0.1605702043, 0.1640823781 ]	1	[ 31, 31, 20 ]	false	false	false
cardboard_box	[ 0.5144356489, 0.4455631077, 0.1087828875, 0.1468686461 ]	1	[ 17, 27, 25 ]	false	true	true
poly_mailer	[ 0.5568055212, 0.7414809167, 0.3460529447, 0.245446384 ]	1	[ 39, 23, 2 ]	true	false	false
padded_envelope	[ 0.5479202271, 0.5211579353, 0.2557132244, 0.1218980849 ]	1	[ 22, 16, 2 ]	false	false	false
poly_mailer	[ 0.4673541784, 0.3953150511, 0.0842597485, 0.0519267321 ]	1	[ 25, 18, 2 ]	false	false	false
plastic_tote	[ 0.6493585408, 0.3527016044, 0.1536657214, 0.1634556055 ]	1	[ 35, 37, 26 ]	false	false	false
plastic_tote	[ 0.8097881675, 0.6832500249, 0.2565373182, 0.204115361 ]	1	[ 56, 33, 20 ]	false	false	false
padded_envelope	[ 0.4266033471, 0.5201378912, 0.1144938469, 0.1056908071 ]	1	[ 32, 25, 2 ]	false	false	false
plastic_tote	[ 0.6516307294, 0.4871050119, 0.1491661668, 0.0984363556 ]	1	[ 48, 30, 25 ]	false	false	false
padded_envelope	[ 0.5295007974, 0.496083945, 0.076282829, 0.0456891656 ]	1	[ 24, 19, 2 ]	true	false	false
cardboard_box	[ 0.3813271672, 0.481626749, 0.1090733111, 0.0765850544 ]	1	[ 31, 33, 12 ]	false	true	false
padded_envelope	[ 0.4587654918, 0.6444501877, 0.1045453846, 0.0740828514 ]	1	[ 23, 21, 2 ]	false	false	false
padded_envelope	[ 0.6346682906, 0.4404550195, 0.093208909, 0.0387716293 ]	1	[ 26, 19, 2 ]	false	false	false
padded_envelope	[ 0.7491398752, 0.5270877779, 0.1611375213, 0.0918331742 ]	1	[ 38, 29, 2 ]	true	false	false
shipping_tube	[ 0.5080245286, 0.7928728461, 0.3808926046, 0.1538553834 ]	1	[ 61, 10, 10 ]	false	false	false
padded_envelope	[ 0.2036197037, 0.5401090384, 0.1290998161, 0.0694838762 ]	1	[ 23, 22, 2 ]	false	false	false
cardboard_box	[ 0.1282900311, 0.6130680889, 0.0839004144, 0.0963638127 ]	1	[ 11, 13, 12 ]	false	true	false
plastic_tote	[ 0.7768824697, 0.5000750273, 0.3264244795, 0.2290168703 ]	1	[ 51, 29, 16 ]	false	false	false
cardboard_box	[ 0.6236191392, 0.7290669233, 0.2488980293, 0.2094649971 ]	1	[ 24, 29, 15 ]	true	false	false
cardboard_box	[ 0.2916683853, 0.4056953192, 0.141679585, 0.1271674633 ]	1	[ 22, 17, 18 ]	false	true	false
poly_mailer	[ 0.5159298331, 0.3933891058, 0.1905269325, 0.0657445192 ]	1	[ 37, 27, 2 ]	false	false	false
shipping_tube	[ 0.3198855072, 0.5073998123, 0.2084655464, 0.1185585558 ]	0.92	[ 41, 7, 7 ]	false	false	false
cardboard_box	[ 0.0330832452, 0.5023384988, 0.0661664903, 0.3007821441 ]	1	[ 24, 26, 34 ]	false	true	true
poly_mailer	[ 0.3024333417, 0.6504402459, 0.0733141899, 0.0869135857 ]	1	[ 32, 22, 2 ]	false	false	false
poly_mailer	[ 0.63108325, 0.6091965139, 0.1383508444, 0.1124700308 ]	1	[ 40, 30, 2 ]	true	false	false
cardboard_box	[ 0.5984357595, 0.4424658716, 0.053498745, 0.049928844 ]	1	[ 16, 21, 13 ]	true	true	false
poly_mailer	[ 0.3862304091, 0.6601903439, 0.0874111652, 0.0840507746 ]	1	[ 23, 19, 2 ]	true	false	false
shipping_tube	[ 0.4352483004, 0.4907722771, 0.1418510973, 0.0786678195 ]	0.96	[ 61, 8, 8 ]	false	false	false
shipping_tube	[ 0.4928856194, 0.4234627634, 0.1700821519, 0.2589547932 ]	1	[ 68, 9, 9 ]	false	false	false
plastic_tote	[ 0.6522504985, 0.4810717255, 0.1671316028, 0.1850239336 ]	1	[ 32, 39, 28 ]	false	false	false
shipping_tube	[ 0.3455014303, 0.4114492685, 0.1930693835, 0.2129713595 ]	1	[ 38, 9, 9 ]	false	false	false
padded_envelope	[ 0.1165863723, 0.673225455, 0.2331727445, 0.2170533389 ]	1	[ 26, 23, 2 ]	false	false	false
shipping_tube	[ 0.4282063395, 0.5548007488, 0.3413444459, 0.5016974211 ]	1	[ 80, 11, 11 ]	false	false	false
cardboard_box	[ 0.1135996878, 0.3725551665, 0.2271993756, 0.2545170188 ]	1	[ 27, 28, 20 ]	false	true	true
poly_mailer	[ 0.8511504531, 0.3115329146, 0.2211712599, 0.1356111765 ]	1	[ 33, 15, 2 ]	true	false	false
plastic_tote	[ 0.4748729169, 0.1338732541, 0.2074744105, 0.2677465081 ]	1	[ 45, 33, 24 ]	false	false	false
cardboard_box	[ 0.1673539542, 0.509339124, 0.1643272117, 0.1559303403 ]	1	[ 17, 28, 28 ]	false	true	true
poly_mailer	[ 0.2993054315, 0.7201801017, 0.2947235256, 0.1804660708 ]	1	[ 30, 30, 2 ]	true	false	false
plastic_tote	[ 0.4053793997, 0.4777050614, 0.1821588576, 0.1385858059 ]	1	[ 42, 28, 29 ]	false	false	false
padded_envelope	[ 0.7833047807, 0.5852976292, 0.1859411597, 0.0758623183 ]	0.8	[ 29, 26, 2 ]	true	false	false
plastic_tote	[ 0.6955816448, 0.7446604595, 0.3567990661, 0.3681992143 ]	1	[ 37, 30, 24 ]	false	false	false
plastic_tote	[ 0.7615033686, 0.6118968278, 0.4223228097, 0.3935602009 ]	1	[ 39, 35, 19 ]	false	false	false
padded_envelope	[ 0.8384979665, 0.4665412903, 0.1231746078, 0.072178483 ]	1	[ 20, 24, 2 ]	true	false	false
plastic_tote	[ 0.4051932693, 0.6198483258, 0.2657153606, 0.2161826193 ]	1	[ 44, 36, 16 ]	false	false	false
padded_envelope	[ 0.6018928289, 0.3464415371, 0.0526243448, 0.0504339337 ]	1	[ 37, 18, 2 ]	true	false	false
poly_mailer	[ 0.5080073327, 0.5715034306, 0.0928792059, 0.0525518656 ]	1	[ 31, 22, 2 ]	false	false	false
plastic_tote	[ 0.5003135353, 0.449449867, 0.1076249778, 0.0848155618 ]	0.76	[ 47, 38, 24 ]	false	false	false
poly_mailer	[ 0.3634215891, 0.5937285423, 0.0984550714, 0.0578661561 ]	1	[ 33, 29, 2 ]	true	false	false
padded_envelope	[ 0.7343806326, 0.4625264406, 0.1057619452, 0.1051837206 ]	1	[ 30, 21, 2 ]	true	false	false
shipping_tube	[ 0.5733508617, 0.6968799233, 0.155957669, 0.0752625465 ]	1	[ 30, 8, 8 ]	false	false	false
padded_envelope	[ 0.8959202766, 0.5379746854, 0.2081594467, 0.1777983308 ]	1	[ 22, 25, 2 ]	true	false	false
shipping_tube	[ 0.3590696827, 0.3469950408, 0.2966765612, 0.3106923997 ]	1	[ 74, 8, 8 ]	false	false	false
shipping_tube	[ 0.8120161891, 0.7822324887, 0.3759676218, 0.4235459478 ]	1	[ 39, 11, 11 ]	false	false	false
shipping_tube	[ 0.7601119578, 0.8017238677, 0.3539107442, 0.3965522647 ]	1	[ 74, 7, 7 ]	false	false	false
poly_mailer	[ 0.221695289, 0.3060335219, 0.3450204432, 0.0966873765 ]	1	[ 40, 17, 2 ]	true	false	false
shipping_tube	[ 0.8449462652, 0.303563714, 0.3101074696, 0.3114753962 ]	1	[ 83, 12, 12 ]	false	false	false
shipping_tube	[ 0.1589556187, 0.6170639768, 0.3179112375, 0.3749888688 ]	1	[ 41, 9, 9 ]	false	false	false
padded_envelope	[ 0.5985780656, 0.3931864798, 0.1712508798, 0.0808344483 ]	1	[ 26, 29, 2 ]	false	false	false
plastic_tote	[ 0.2648099735, 0.802614525, 0.4784334749, 0.3947709501 ]	1	[ 34, 37, 17 ]	false	false	false
plastic_tote	[ 0.426465556, 0.6125304699, 0.1677413285, 0.1929436922 ]	1	[ 43, 25, 20 ]	false	false	false
padded_envelope	[ 0.6239647269, 0.3979640305, 0.0979937315, 0.0622878671 ]	1	[ 31, 22, 2 ]	true	false	false
cardboard_box	[ 0.4816293567, 0.3647488654, 0.0418210328, 0.0626007915 ]	1	[ 13, 14, 18 ]	false	false	true
poly_mailer	[ 0.5915275514, 0.4879649282, 0.0811861157, 0.0341714621 ]	0.92	[ 28, 28, 2 ]	false	false	false
cardboard_box	[ 0.5944690406, 0.5146249533, 0.0767752528, 0.0465980768 ]	1	[ 22, 19, 11 ]	false	true	true
poly_mailer	[ 0.7022426724, 0.5229551345, 0.0687861443, 0.0406955779 ]	1	[ 30, 17, 2 ]	false	false	false
padded_envelope	[ 0.2775364518, 0.8808602467, 0.5550729036, 0.2382795066 ]	1	[ 32, 19, 2 ]	true	false	false
plastic_tote	[ 0.9207287431, 0.7025669515, 0.1585425138, 0.594866097 ]	1	[ 47, 34, 20 ]	false	false	false
plastic_tote	[ 0.3071137369, 0.2538585961, 0.6142274737, 0.4320012927 ]	1	[ 59, 30, 26 ]	false	false	false
shipping_tube	[ 0.8142201602, 0.403736338, 0.3715596795, 0.2220732868 ]	0.92	[ 38, 9, 9 ]	false	false	false
cardboard_box	[ 0.4096476287, 0.4818466455, 0.1507765353, 0.2007716 ]	1	[ 24, 23, 30 ]	true	false	false
plastic_tote	[ 0.9153349996, 0.7182150148, 0.1693300009, 0.405463092 ]	1	[ 47, 35, 21 ]	false	false	false
plastic_tote	[ 0.6349550784, 0.5319888741, 0.2568901181, 0.2080935538 ]	1	[ 42, 31, 15 ]	false	false	false
cardboard_box	[ 0.1071823388, 0.6163929701, 0.2143646777, 0.1944388151 ]	0.56	[ 27, 28, 11 ]	true	false	false
plastic_tote	[ 0.5744847357, 0.855539307, 0.6224036813, 0.288921386 ]	1	[ 53, 37, 16 ]	false	false	false
plastic_tote	[ 0.8858472407, 0.4582708478, 0.2283055186, 0.2467017174 ]	1	[ 48, 33, 29 ]	false	false	false
cardboard_box	[ 0.6658467054, 0.0980921984, 0.2000691891, 0.1961843967 ]	0.4	[ 16, 19, 10 ]	false	false	true
shipping_tube	[ 0.9491224587, 0.7876748443, 0.1017550826, 0.4246503115 ]	1	[ 44, 10, 10 ]	false	false	false
cardboard_box	[ 0.3172315732, 0.892114535, 0.2912463993, 0.2157709301 ]	1	[ 33, 31, 15 ]	false	false	false
cardboard_box	[ 0.5997652709, 0.7503661588, 0.1479710937, 0.2457041889 ]	1	[ 10, 29, 33 ]	false	true	false
shipping_tube	[ 0.6385521889, 0.2576448619, 0.0982136726, 0.1224027276 ]	1	[ 35, 7, 7 ]	false	false	false
padded_envelope	[ 0.2797901258, 0.3797097206, 0.1449290067, 0.1189373732 ]	1	[ 20, 27, 2 ]	false	false	false
shipping_tube	[ 0.5678459853, 0.4743150175, 0.1627544463, 0.0513165593 ]	1	[ 31, 9, 9 ]	false	false	false
shipping_tube	[ 0.8547306061, 0.5429334491, 0.2905387878, 0.172167033 ]	1	[ 85, 11, 11 ]	false	false	false
cardboard_box	[ 0.7944677174, 0.147282958, 0.2009963393, 0.1957479715 ]	1	[ 33, 22, 34 ]	false	true	true
padded_envelope	[ 0.3923161924, 0.6395639479, 0.1873385906, 0.1228724718 ]	1	[ 33, 17, 2 ]	true	false	false
plastic_tote	[ 0.2322955057, 0.5712825209, 0.1896275431, 0.1653940976 ]	1	[ 45, 36, 29 ]	false	false	false

End of preview. Expand in Data Studio

QM Synthetic Parcels & Packages (5 types) - Free Sample

Buy the full commercial edition: $19 USD -> Polar checkout, instant download
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

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 images of parcels and packages (boxes, envelopes, mailers, tubes, totes) with YOLO bounding boxes and label/tape/damage attributes, for logistics, warehouse and delivery robotics; the paid full edition can be used commercially.

Best for: parcel detection / counting pre-training, sorting and delivery-robot prototypes
Not for: reading shipping labels or barcodes

Quick start

# pip install huggingface_hub ultralytics
from huggingface_hub import snapshot_download
path = snapshot_download("quailrobot/parcels-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 cardboard_box, 1 padded_envelope, 2 poly_mailer, 3 shipping_tube, 4 plastic_tote; size (cm), has shipping label, taped, damaged in meta/
Full edition size: 5,000 images 640x640 (train 4,025 / val 481 / test 494) with YOLO labels + attribute JSON (zip 95.0 MB)
Free sample size: 300 images (train 248 / val 27 / test 25)
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: $19 USD; checkout may display the equivalent in your local currency
Buy URL (primary): https://buy.polar.sh/polar_cl_7tStq6NIuCZ44hCotD41SmUhAyqZe3RN4iKog3G6ATr
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: $19 USD. One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_7tStq6NIuCZ44hCotD41SmUhAyqZe3RN4iKog3G6ATr
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

Stylized, not photoreal, studio-style scenes without background clutter - fine-tune on real photos for production.

This free sample: 300 images (train 248 / val 27 / test 25). Full commercial edition: 5,000 images 640x640 (train 4,025 / val 481 / test 494) with YOLO labels + attribute JSON (zip 95.0 MB). Fully synthetic data; summary, facts, validation and limitations are in the block above.

split	images	boxes
train	248	873
val	27	87
test	25	91

Image size: 640x640 JPEG. Labels: YOLO txt, classes: 0 = cardboard_box, 1 = padded_envelope, 2 = poly_mailer, 3 = shipping_tube, 4 = plastic_tote. Images with an empty label file are true negatives (18 of 300).
Boxes per class: cardboard_box 224, padded_envelope 207, poly_mailer 209, shipping_tube 195, plastic_tote 216
meta/ holds per-object attribute JSON (class, box, visibility and module-specific attributes).
data.yaml included - train directly with Ultralytics YOLO.
Box size distribution (fraction of image width): median 0.155, 0% of boxes are smaller than 16 px.

How it was made

Original 3D models, procedurally generated and rendered with a physically based renderer under real-world lighting, with realistic camera effects. Labels are computed exactly from the 3D scene (no hand labelling).

Credits

Lighting environments: Poly Haven HDRIs (CC0), credited.

Licence

Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition is sold by QuailModel (see the buy link).

Disclosure

Generated by QuailModel with AI assistance (generator code written with an AI model); all data is synthetic / computer-generated. Validate on your own real data before production use.