README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
    - name: timestamp_ms
      dtype: int64
    - name: width
      dtype: int64
    - name: height
      dtype: int64
    - name: machine_id
      dtype: string
    - name: instance_mask
      dtype: image
    - name: image_id
      dtype: string
    - name: semantic_mask
      dtype: image
    - name: review_status
      dtype: string
  splits:
    - name: train
      num_bytes: 6609517
      num_examples: 89
  download_size: 6607674
  dataset_size: 6609517

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