ndimensions/sementic-segmentation-test

Semantic segmentation dataset in COCO format with direct index masks.

Classes (92 total)

ID	Name	Color (RGB)
0	background	(0, 0, 0)
1	floor	(57, 107, 229)
2	curtain	(135, 210, 31)
3	jacket	(191, 66, 175)
4	chair	(57, 229, 200)
5	wall	(210, 128, 31)
6	door	(97, 66, 191)
7	access panel	(64, 229, 57)
8	door handle	(210, 31, 91)
9	light switch	(66, 144, 191)
10	baseboard	(215, 229, 57)
11	door hinge	(172, 31, 210)
12	vent	(66, 191, 128)
13	doorway	(229, 92, 57)
14	door frame	(31, 46, 210)
15	trash can	(113, 191, 66)
16	couch	(229, 57, 172)
17	pillar	(31, 203, 210)
18	mop	(191, 159, 66)
19	bed	(135, 57, 229)
20	mirror	(31, 210, 60)
21	fire extinguisher	(191, 66, 82)
22	electrical outlet	(57, 129, 229)
23	small furniture	(158, 210, 31)
24	desk	(190, 66, 191)
25	wood floor	(57, 229, 178)
26	cleaning tool	(210, 105, 31)
27	themostat	(82, 66, 191)
28	latch	(86, 229, 57)
29	hinge	(210, 31, 114)
30	window sill	(66, 160, 191)
31	box	(229, 221, 57)
32	furniture	(150, 31, 210)
33	mattress	(66, 191, 113)
34	refrigerator	(229, 70, 57)
35	painting	(31, 69, 210)
36	oven	(129, 191, 66)
37	cabinet	(229, 57, 194)
38	window	(31, 210, 194)
39	person	(191, 144, 66)
40	fan	(113, 57, 229)
41	computer monitor	(31, 210, 38)
42	monitor	(191, 66, 98)
43	range hood	(57, 151, 229)
44	handle	(181, 210, 31)
45	hardwood floor	(174, 66, 191)
46	kitchen cabinet	(57, 229, 156)
47	kick plate	(210, 82, 31)
48	cabinet door	(66, 67, 191)
49	appliance	(108, 229, 57)
50	office chair	(210, 31, 137)
51	robot	(66, 176, 191)
52	computer tower	(229, 199, 57)
53	clothing	(127, 31, 210)
54	pole	(66, 191, 97)
55	wheel	(229, 57, 65)
56	chair wheel	(31, 92, 210)
57	cabinetry	(145, 191, 66)
58	stick	(229, 57, 216)
59	cardboard box	(31, 210, 171)
60	bed frame	(191, 128, 66)
61	frame	(91, 57, 229)
62	sheet	(47, 210, 31)
63	smart plug	(191, 66, 114)
64	bedding	(57, 173, 229)
65	light fixture	(204, 210, 31)
66	cable	(159, 66, 191)
67	bucket	(57, 229, 134)
68	toilet	(210, 59, 31)
69	window frame	(66, 83, 191)
70	3d printer	(130, 229, 57)
71	plug	(210, 31, 159)
72	computer case	(66, 191, 190)
73	fixture	(229, 177, 57)
74	toilet seat	(104, 31, 210)
75	ventilation grille	(66, 191, 81)
76	picture frame	(229, 57, 87)
77	shoe	(31, 115, 210)
78	ceiling	(161, 191, 66)
79	artwork	(220, 57, 229)
80	outlet	(31, 210, 148)
81	stand	(191, 112, 66)
82	hallway	(69, 57, 229)
83	bag	(70, 210, 31)
84	laptop	(191, 66, 130)
85	power outlet	(57, 195, 229)
86	counter	(210, 193, 31)
87	sink	(143, 66, 191)
88	electrical cord	(57, 229, 112)
89	window panel	(210, 36, 31)
90	floor lamp	(66, 99, 191)
91	column	(152, 229, 57)

Columns

• image: RGB image
• semantic_mask: Semantic segmentation mask (pixel value = class ID)
• instance_mask: Instance segmentation mask (pixel value = instance ID)
• image_id: Unique image identifier
• review_status: Review lifecycle (pending → in_review → completed)

Files

• annotations/train.json: COCO format annotations
• labelmap.txt: Class definitions with colors

Statistics

• Samples: 89
• Classes: 92
• Split: train