Datasets:

wangtianthu
/

set-solver-dataset

card_class_id int64 0 80	x_center float64 0.07 0.93	y_center float64 0.08 0.91	width float64 0.04 0.45	height float64 0.07 0.53	label dict
15	0.565234	0.526562	0.291406	0.421875	{ "class_id": 15, "color": 1, "fill": 0, "number": 0, "shape": 2 }
66	0.774609	0.394271	0.291406	0.421875	{ "class_id": 66, "color": 1, "fill": 0, "number": 2, "shape": 1 }
58	0.925391	0.520313	0.149219	0.378125	{ "class_id": 58, "color": 0, "fill": 1, "number": 2, "shape": 1 }
21	0.598047	0.274479	0.314844	0.357292	{ "class_id": 21, "color": 2, "fill": 0, "number": 0, "shape": 1 }
14	0.708203	0.826042	0.313281	0.347917	{ "class_id": 14, "color": 1, "fill": 2, "number": 0, "shape": 1 }
2	0.902344	0.266146	0.195313	0.411458	{ "class_id": 2, "color": 0, "fill": 2, "number": 0, "shape": 0 }
71	0.881641	0.760937	0.236719	0.282292	{ "class_id": 71, "color": 1, "fill": 2, "number": 2, "shape": 2 }
73	0.794141	0.1	0.283594	0.2	{ "class_id": 73, "color": 2, "fill": 1, "number": 2, "shape": 0 }
48	0.886719	0.763021	0.226563	0.253125	{ "class_id": 48, "color": 2, "fill": 0, "number": 1, "shape": 1 }
73	0.138872	0.151803	0.173265	0.271363	{ "class_id": 73, "color": 2, "fill": 1, "number": 2, "shape": 0 }
30	0.307865	0.188161	0.208332	0.215974	{ "class_id": 30, "color": 0, "fill": 0, "number": 1, "shape": 1 }
48	0.483764	0.154092	0.206516	0.266786	{ "class_id": 48, "color": 2, "fill": 0, "number": 1, "shape": 1 }
1	0.69887	0.147844	0.149877	0.265737	{ "class_id": 1, "color": 0, "fill": 1, "number": 0, "shape": 0 }
48	0.861584	0.198431	0.179635	0.267515	{ "class_id": 48, "color": 2, "fill": 0, "number": 1, "shape": 1 }
53	0.160148	0.48299	0.188645	0.155339	{ "class_id": 53, "color": 2, "fill": 2, "number": 1, "shape": 2 }
40	0.325526	0.454442	0.173457	0.139555	{ "class_id": 40, "color": 1, "fill": 1, "number": 1, "shape": 1 }
43	0.489462	0.489052	0.173155	0.2251	{ "class_id": 43, "color": 1, "fill": 1, "number": 1, "shape": 2 }
18	0.680698	0.460067	0.189722	0.183547	{ "class_id": 18, "color": 2, "fill": 0, "number": 0, "shape": 0 }
47	0.829087	0.473939	0.197577	0.224122	{ "class_id": 47, "color": 2, "fill": 2, "number": 1, "shape": 0 }
5	0.179275	0.717672	0.148465	0.185995	{ "class_id": 5, "color": 0, "fill": 2, "number": 0, "shape": 1 }
8	0.344939	0.719767	0.175615	0.165894	{ "class_id": 8, "color": 0, "fill": 2, "number": 0, "shape": 2 }
39	0.514737	0.70427	0.170014	0.160716	{ "class_id": 39, "color": 1, "fill": 0, "number": 1, "shape": 1 }
45	0.663097	0.695208	0.156862	0.19498	{ "class_id": 45, "color": 2, "fill": 0, "number": 1, "shape": 0 }
75	0.813776	0.69534	0.186247	0.170465	{ "class_id": 75, "color": 2, "fill": 0, "number": 2, "shape": 1 }
33	0.284327	0.390049	0.117628	0.251568	{ "class_id": 33, "color": 0, "fill": 0, "number": 1, "shape": 2 }
52	0.463774	0.337152	0.244413	0.337319	{ "class_id": 52, "color": 2, "fill": 1, "number": 1, "shape": 2 }
14	0.728833	0.259357	0.235361	0.387232	{ "class_id": 14, "color": 1, "fill": 2, "number": 0, "shape": 1 }
78	0.297612	0.538368	0.145858	0.17782	{ "class_id": 78, "color": 2, "fill": 0, "number": 2, "shape": 2 }
8	0.857371	0.481588	0.185194	0.325881	{ "class_id": 8, "color": 0, "fill": 2, "number": 0, "shape": 2 }
16	0.586433	0.454598	0.251565	0.190253	{ "class_id": 16, "color": 1, "fill": 1, "number": 0, "shape": 2 }
77	0.715961	0.839852	0.286754	0.247468	{ "class_id": 77, "color": 2, "fill": 2, "number": 2, "shape": 1 }
40	0.256686	0.644213	0.310604	0.313798	{ "class_id": 40, "color": 1, "fill": 1, "number": 1, "shape": 1 }
0	0.338845	0.300446	0.202065	0.323273	{ "class_id": 0, "color": 0, "fill": 0, "number": 0, "shape": 0 }
57	0.265155	0.211097	0.317592	0.353077	{ "class_id": 57, "color": 0, "fill": 0, "number": 2, "shape": 1 }
78	0.132001	0.791911	0.264002	0.416178	{ "class_id": 78, "color": 2, "fill": 0, "number": 2, "shape": 2 }
56	0.656903	0.480148	0.240688	0.30185	{ "class_id": 56, "color": 0, "fill": 2, "number": 2, "shape": 0 }
55	0.755094	0.494446	0.180229	0.231611	{ "class_id": 55, "color": 0, "fill": 1, "number": 2, "shape": 0 }
30	0.760102	0.316066	0.165396	0.280148	{ "class_id": 30, "color": 0, "fill": 0, "number": 1, "shape": 1 }
54	0.163997	0.532813	0.327993	0.413542	{ "class_id": 54, "color": 0, "fill": 0, "number": 2, "shape": 0 }
43	0.306545	0.542284	0.321915	0.393866	{ "class_id": 43, "color": 1, "fill": 1, "number": 1, "shape": 2 }
45	0.165883	0.27337	0.161417	0.295616	{ "class_id": 45, "color": 2, "fill": 0, "number": 1, "shape": 0 }
60	0.358759	0.247136	0.125241	0.275103	{ "class_id": 60, "color": 0, "fill": 0, "number": 2, "shape": 2 }
1	0.585158	0.215529	0.246061	0.337994	{ "class_id": 1, "color": 0, "fill": 1, "number": 0, "shape": 0 }
30	0.87611	0.174037	0.176632	0.327581	{ "class_id": 30, "color": 0, "fill": 0, "number": 1, "shape": 1 }
40	0.177777	0.522093	0.187448	0.192668	{ "class_id": 40, "color": 1, "fill": 1, "number": 1, "shape": 1 }
25	0.360955	0.506883	0.21634	0.30555	{ "class_id": 25, "color": 2, "fill": 1, "number": 0, "shape": 2 }
79	0.591736	0.477917	0.157231	0.297451	{ "class_id": 79, "color": 2, "fill": 1, "number": 2, "shape": 2 }
57	0.868658	0.501156	0.253495	0.191473	{ "class_id": 57, "color": 0, "fill": 0, "number": 2, "shape": 1 }
13	0.179032	0.779229	0.189959	0.293004	{ "class_id": 13, "color": 1, "fill": 1, "number": 0, "shape": 1 }
14	0.387765	0.778553	0.148725	0.288395	{ "class_id": 14, "color": 1, "fill": 2, "number": 0, "shape": 1 }
55	0.412335	0.66465	0.249394	0.193342	{ "class_id": 55, "color": 0, "fill": 1, "number": 2, "shape": 0 }
58	0.564024	0.420446	0.224645	0.24524	{ "class_id": 58, "color": 0, "fill": 1, "number": 2, "shape": 1 }
61	0.24586	0.405295	0.242071	0.217819	{ "class_id": 61, "color": 0, "fill": 1, "number": 2, "shape": 2 }
71	0.735265	0.734342	0.348155	0.331234	{ "class_id": 71, "color": 1, "fill": 2, "number": 2, "shape": 2 }
42	0.481238	0.666248	0.227781	0.306161	{ "class_id": 42, "color": 1, "fill": 0, "number": 1, "shape": 2 }
65	0.328124	0.337235	0.197166	0.312973	{ "class_id": 65, "color": 1, "fill": 2, "number": 2, "shape": 0 }
50	0.699453	0.394244	0.148906	0.23936	{ "class_id": 50, "color": 2, "fill": 2, "number": 1, "shape": 1 }
19	0.228939	0.255099	0.241812	0.251677	{ "class_id": 19, "color": 2, "fill": 1, "number": 0, "shape": 0 }
4	0.482855	0.236244	0.287646	0.277459	{ "class_id": 4, "color": 0, "fill": 1, "number": 0, "shape": 1 }
34	0.799648	0.214156	0.36871	0.364843	{ "class_id": 34, "color": 0, "fill": 1, "number": 1, "shape": 2 }
44	0.198489	0.521281	0.147252	0.336901	{ "class_id": 44, "color": 1, "fill": 2, "number": 1, "shape": 2 }
41	0.46035	0.536412	0.30535	0.327788	{ "class_id": 41, "color": 1, "fill": 2, "number": 1, "shape": 1 }
8	0.82752	0.497028	0.33552	0.243435	{ "class_id": 8, "color": 0, "fill": 2, "number": 0, "shape": 2 }
20	0.227085	0.761561	0.26602	0.333301	{ "class_id": 20, "color": 2, "fill": 2, "number": 0, "shape": 0 }
39	0.494685	0.759037	0.197637	0.386919	{ "class_id": 39, "color": 1, "fill": 0, "number": 1, "shape": 1 }
77	0.79805	0.763095	0.281238	0.450631	{ "class_id": 77, "color": 2, "fill": 2, "number": 2, "shape": 1 }
17	0.502201	0.564973	0.210822	0.212054	{ "class_id": 17, "color": 1, "fill": 2, "number": 0, "shape": 2 }
10	0.228775	0.307564	0.233716	0.192774	{ "class_id": 10, "color": 1, "fill": 1, "number": 0, "shape": 0 }
70	0.276351	0.587652	0.194019	0.205363	{ "class_id": 70, "color": 1, "fill": 1, "number": 2, "shape": 2 }
18	0.774669	0.248293	0.336843	0.355369	{ "class_id": 18, "color": 2, "fill": 0, "number": 0, "shape": 0 }
42	0.508855	0.243935	0.260604	0.361198	{ "class_id": 42, "color": 1, "fill": 0, "number": 1, "shape": 2 }
34	0.725852	0.546693	0.194123	0.204505	{ "class_id": 34, "color": 0, "fill": 1, "number": 1, "shape": 2 }
65	0.315736	0.841186	0.260627	0.221003	{ "class_id": 65, "color": 1, "fill": 2, "number": 2, "shape": 0 }
57	0.586593	0.644288	0.159218	0.249983	{ "class_id": 57, "color": 0, "fill": 0, "number": 2, "shape": 1 }
76	0.705491	0.488986	0.145593	0.264304	{ "class_id": 76, "color": 2, "fill": 1, "number": 2, "shape": 1 }
50	0.395517	0.761527	0.28209	0.258873	{ "class_id": 50, "color": 2, "fill": 2, "number": 1, "shape": 1 }
73	0.630535	0.686001	0.218982	0.283121	{ "class_id": 73, "color": 2, "fill": 1, "number": 2, "shape": 0 }
71	0.402008	0.667793	0.277332	0.359676	{ "class_id": 71, "color": 1, "fill": 2, "number": 2, "shape": 2 }
4	0.594059	0.331136	0.223315	0.316737	{ "class_id": 4, "color": 0, "fill": 1, "number": 0, "shape": 1 }
7	0.680819	0.300975	0.166433	0.192638	{ "class_id": 7, "color": 0, "fill": 1, "number": 0, "shape": 2 }
36	0.785726	0.432483	0.083236	0.224176	{ "class_id": 36, "color": 1, "fill": 0, "number": 1, "shape": 0 }
19	0.456155	0.548967	0.296649	0.361027	{ "class_id": 19, "color": 2, "fill": 1, "number": 0, "shape": 0 }
62	0.594847	0.637343	0.239108	0.317904	{ "class_id": 62, "color": 0, "fill": 2, "number": 2, "shape": 2 }
46	0.23138	0.32625	0.23047	0.388086	{ "class_id": 46, "color": 2, "fill": 1, "number": 1, "shape": 0 }
43	0.318556	0.801636	0.289864	0.25274	{ "class_id": 43, "color": 1, "fill": 1, "number": 1, "shape": 2 }
67	0.116016	0.875521	0.232031	0.248958	{ "class_id": 67, "color": 1, "fill": 1, "number": 2, "shape": 1 }
50	0.153906	0.468229	0.301563	0.388542	{ "class_id": 50, "color": 2, "fill": 2, "number": 1, "shape": 1 }
76	0.125391	0.165104	0.250781	0.330208	{ "class_id": 76, "color": 2, "fill": 1, "number": 2, "shape": 1 }
33	0.119531	0.180729	0.23125	0.203125	{ "class_id": 33, "color": 0, "fill": 0, "number": 1, "shape": 2 }
20	0.385156	0.199479	0.240625	0.359375	{ "class_id": 20, "color": 2, "fill": 2, "number": 0, "shape": 0 }
79	0.627344	0.174479	0.25	0.246875	{ "class_id": 79, "color": 2, "fill": 1, "number": 2, "shape": 2 }
12	0.865625	0.204688	0.220313	0.353125	{ "class_id": 12, "color": 1, "fill": 0, "number": 0, "shape": 1 }
24	0.138281	0.494271	0.26875	0.321875	{ "class_id": 24, "color": 2, "fill": 0, "number": 0, "shape": 2 }
73	0.367969	0.507813	0.215625	0.351042	{ "class_id": 73, "color": 2, "fill": 1, "number": 2, "shape": 0 }
50	0.608594	0.500521	0.260938	0.280208	{ "class_id": 50, "color": 2, "fill": 2, "number": 1, "shape": 1 }
68	0.870312	0.525521	0.160937	0.315625	{ "class_id": 68, "color": 1, "fill": 2, "number": 2, "shape": 1 }
75	0.151563	0.835938	0.2625	0.284375	{ "class_id": 75, "color": 2, "fill": 0, "number": 2, "shape": 1 }
68	0.358594	0.828646	0.253125	0.255208	{ "class_id": 68, "color": 1, "fill": 2, "number": 2, "shape": 1 }
22	0.653909	0.495302	0.331301	0.445458	{ "class_id": 22, "color": 2, "fill": 1, "number": 0, "shape": 1 }
38	0.485548	0.538309	0.20373	0.248261	{ "class_id": 38, "color": 1, "fill": 2, "number": 1, "shape": 0 }

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Set Solver Dataset

Training data for the Set card game solver.

Live demo | Models | Source code

Dataset Structure

Classifier — Card Attribute Classification

classifier/{number}/{color}/{shape}/{fill}/

1943 cropped card images organized into 81 classes (3 numbers x 3 colors x 3 shapes x 3 fills).

Attribute	Values
Number	one, two, three
Color	red, green, blue (purple)
Shape	diamond, oval, squiggle
Fill	empty, full (solid), partial (striped)

Detector — Card Detection (YOLO format)

detector/images/ and detector/labels/

5000 synthetic board images (1280x960) with YOLO-format bounding box annotations.

Train: 4000 images (detector/images/train/)
Val: 1000 images (detector/images/val/)
Labels: YOLO .txt files + rich .json metadata per image
Class: single class (card)

The synthetic boards feature:

Grid, random, overlap, and pile card layouts
Varied background textures (wood, marble, gradients)
Perspective transforms simulating camera angles
Noise objects (buttons, coins, paper clips)
9-12 cards per board

Usage

Detector training with Ultralytics

from ultralytics import YOLO

model = YOLO("yolo11n.pt")
model.train(data="detector/dataset.yaml", epochs=10, imgsz=640)

Classifier training

from torchvision.datasets import ImageFolder
from torchvision import transforms

dataset = ImageFolder("classifier/", transform=transforms.Compose([
    transforms.Resize((224, 224)),
    transforms.ToTensor(),
]))

Downloads last month: 15,358

Size of the auto-converted Parquet files:

14.8 MB

Number of rows:

43,937