README.md

metadata

license: apache-2.0
task_categories:
  - image-segmentation
tags:
  - semantic-segmentation
  - coco
size_categories:
  - n<1K

ndimensions/semantic-segmentation

Semantic segmentation dataset in COCO format with direct index masks.

Classes (115 total)

ID	Name	Color (RGB)
0	background	(0, 0, 0)
1	cabinet	(57, 107, 229)
2	chair	(135, 210, 31)
3	monitor	(191, 66, 175)
4	desk	(57, 229, 200)
5	curtain	(210, 128, 31)
6	door	(97, 66, 191)
7	vent	(64, 229, 57)
8	light	(210, 31, 91)
9	trash can	(66, 144, 191)
10	bed	(215, 229, 57)
11	mop	(172, 31, 210)
12	fire extinguisher	(66, 191, 128)
13	mattress	(229, 92, 57)
14	furniture	(31, 46, 210)
15	roll	(113, 191, 66)
16	box	(229, 57, 172)
17	outlet	(31, 203, 210)
18	refrigerator	(191, 159, 66)
19	painting	(135, 57, 229)
20	oven	(31, 210, 60)
21	vase	(191, 66, 82)
22	lamp	(57, 129, 229)
23	toy	(158, 210, 31)
24	hinge	(190, 66, 191)
25	mirror	(57, 229, 178)
26	range hood	(210, 105, 31)
27	handle	(82, 66, 191)
28	appliance	(86, 229, 57)
29	jacket	(210, 31, 114)
30	air conditioner	(66, 160, 191)
31	robot	(229, 221, 57)
32	rod	(150, 31, 210)
33	pole	(66, 191, 113)
34	bag	(229, 70, 57)
35	laptop	(31, 69, 210)
36	closet	(129, 191, 66)
37	light switch	(229, 57, 194)
38	blanket	(31, 210, 194)
39	fabric	(191, 144, 66)
40	bed frame	(113, 57, 229)
41	bedding	(31, 210, 38)
42	fixture	(191, 66, 98)
43	light fixture	(57, 151, 229)
44	printer	(181, 210, 31)
45	cord	(174, 66, 191)
46	toilet	(57, 229, 156)
47	toilet seat	(210, 82, 31)
48	shoe	(66, 67, 191)
49	picture frame	(108, 229, 57)
50	bin	(210, 31, 137)
51	person	(66, 176, 191)
52	wheelchair	(229, 199, 57)
53	speaker	(127, 31, 210)
54	heater	(66, 191, 97)
55	microwave	(229, 57, 65)
56	dishwasher	(31, 92, 210)
57	3d printer	(145, 191, 66)
58	radiator	(229, 57, 216)
59	vacuum cleaner	(31, 210, 171)
60	tripod	(191, 128, 66)
61	drawer	(91, 57, 229)
62	cardboard	(47, 210, 31)
63	power strip	(191, 66, 114)
64	suitcase	(57, 173, 229)
65	coat	(204, 210, 31)
66	table	(159, 66, 191)
67	whiteboard	(57, 229, 134)
68	object	(210, 59, 31)
69	paper	(66, 83, 191)
70	backpack	(130, 229, 57)
71	coat rack	(210, 31, 159)
72	sign	(66, 191, 190)
73	monitor arm	(229, 177, 57)
74	mat	(104, 31, 210)
75	cushion	(66, 191, 81)
76	electronic	(229, 57, 87)
77	blind	(31, 115, 210)
78	basket	(161, 191, 66)
79	cloth	(220, 57, 229)
80	coffee maker	(31, 210, 148)
81	toilet paper	(191, 112, 66)
82	power outlet	(69, 57, 229)
83	post	(70, 210, 31)
84	container	(191, 66, 130)
85	drill	(57, 195, 229)
86	clothing	(210, 193, 31)
87	shelving unit	(143, 66, 191)
88	helmet	(57, 229, 112)
89	pillow	(210, 36, 31)
90	camera	(66, 99, 191)
91	equipment	(152, 229, 57)
92	gpu	(210, 31, 182)
93	water dispenser	(66, 191, 174)
94	computer	(229, 155, 57)
95	cable	(81, 31, 210)
96	pipe	(68, 191, 66)
97	book	(229, 57, 109)
98	shelf	(31, 138, 210)
99	rug	(177, 191, 66)
100	paper towel	(198, 57, 229)
101	dumbbell	(31, 210, 126)
102	computer tower	(191, 96, 66)
103	storage container	(57, 66, 229)
104	towel	(93, 210, 31)
105	decoration	(191, 66, 146)
106	bottle	(57, 217, 229)
107	toolbox	(210, 170, 31)
108	workbench	(127, 66, 191)
109	picture	(57, 229, 90)
110	shade	(210, 31, 49)
111	clamp	(66, 115, 191)
112	stand	(174, 229, 57)
113	adapter	(210, 31, 205)
114	device	(66, 191, 158)

Files

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

Statistics

• Samples: 224
• Classes: 115
• Split: train