CITYSCAPES-DATASET.COM: Keyword Density Checker

Total words: 1753 | 2-word phrases: 456 | 3-word phrases: 508 | 4-word phrases: 533

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Title	Try to keep the title under 60 characters (72 characters) Cityscapes Dataset – Semantic Understanding of Urban Street Scenes
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (22 characters) The Cityscapes Dataset

#	Keyword	Frequency	Density
1	the cityscapes dataset	6	1.18%
2	read more »	3	0.59%
3	cityscapes dataset example	3	0.59%
4	dataset example stuttgart	3	0.59%
5	50 different cities	2	0.39%
6	semantic labeling task	2	0.39%
7	labeling task results	2	0.39%
8	2020 cityscapes 3d	2	0.39%
9	17 2020 cityscapes	2	0.39%
10	as well as	2	0.39%
11	overview cityscapes dataset	2	0.39%
12	panoptic semantic labeling	2	0.39%
13	and evaluation server	2	0.39%
14	with high quality	2	0.39%
15	cityscapes dataset is	2	0.39%
16	news cityscapes 3d	2	0.39%
17	pixellevel instancelevel and	2	0.39%
18	of urban street	2	0.39%
19	understanding of urban	2	0.39%
20	semantic understanding of	2	0.39%
21	october 17 2020	2	0.39%
22	3d vehicle detection	2	0.39%
23	vehicle detection task	2	0.39%
24	3d bounding box	1	0.20%
25	with 3d bounding	1	0.20%
26	cityscapes with 3d	1	0.20%
27	skip to content	1	0.20%
28	3d is an	1	0.20%
29	original cityscapes with	1	0.20%
30	extension of the	1	0.20%

#	Keyword	Frequency	Density
1	cityscapes dataset example stuttgart	3	0.56%
2	october 17 2020 cityscapes	2	0.38%
3	17 2020 cityscapes 3d	2	0.38%
4	semantic understanding of urban	2	0.38%
5	understanding of urban street	2	0.38%
6	3d vehicle detection task	2	0.38%
7	eg for training deep	1	0.19%
8	onlineoctober 17 2020 cityscapes	1	0.19%
9	benchmark onlineoctober 17 2020	1	0.19%
10	latest news cityscapes 3d	1	0.19%
11	networks latest news cityscapes	1	0.19%
12	neural networks latest news	1	0.19%
13	deep neural networks latest	1	0.19%
14	training deep neural networks	1	0.19%
15	for training deep neural	1	0.19%
16	large volumes of weakly	1	0.19%
17	of weakly annotated data	1	0.19%
18	volumes of weakly annotated	1	0.19%
19	cityscapes 3d is an	1	0.19%
20	exploit large volumes of	1	0.19%
21	to exploit large volumes	1	0.19%
22	aims to exploit large	1	0.19%
23	that aims to exploit	1	0.19%
24	research that aims to	1	0.19%
25	panoptic semantic labeling supporting	1	0.19%
26	semantic urban scene understanding	1	0.19%
27	of semantic urban scene	1	0.19%
28	tasks of semantic urban	1	0.19%
29	2020 cityscapes 3d is	1	0.19%
30	skip to content back	1	0.19%
31	3d is an extension	1	0.19%
32	as a benchmark for	1	0.19%
33	our paper presented at	1	0.19%
34	to our paper presented	1	0.19%
35	refer to our paper	1	0.19%
36	please refer to our	1	0.19%
37	details please refer to	1	0.19%
38	detection task for more	1	0.19%
39	3d detection task for	1	0.19%
40	the 3d detection task	1	0.19%

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