DLIB.NET: Keyword Density Checker

Total words: 4377 | 2-word phrases: 1149 | 3-word phrases: 1288 | 4-word phrases: 1338

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Title	Try to keep the title under 60 characters (16 characters) dlib C++ Library
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	trainer deep learning	4	0.31%
2	svm tools for	3	0.23%
3	structural support vector	3	0.23%
4	structural svm tools	3	0.23%
5	learning introduction part	3	0.23%
6	classification and regression	3	0.23%
7	portable and simple	3	0.23%
8	a portable and	3	0.23%
9	provides a portable	3	0.23%
10	the how to	2	0.16%
11	fhog feature extraction	2	0.16%
12	face landmark detection	2	0.16%
13	core gui api	2	0.16%
14	lines of code	2	0.16%
15	tools for object	2	0.16%
16	machines for classification	2	0.16%
17	deep learning semantic	2	0.16%
18	vehicle detection deep	2	0.16%
19	top of the	2	0.16%
20	on top of	2	0.16%
21	os abstraction layers	2	0.16%
22	the os abstraction	2	0.16%
23	segmentation trainer deep	2	0.16%
24	for classification and	2	0.16%
25	interthread and interprocess	2	0.16%
26	as well as	2	0.16%
27	how to compile	2	0.16%
28	inference in a	2	0.16%
29	in a bayesian	2	0.16%
30	a bayesian network	2	0.16%

#	Keyword	Frequency	Density
1	provides a portable and	3	0.22%
2	a portable and simple	3	0.22%
3	structural svm tools for	3	0.22%
4	for classification and regression	2	0.15%
5	segmentation trainer deep learning	2	0.15%
6	pipe for interthread and	2	0.15%
7	for interthread and interprocess	2	0.15%
8	in a bayesian network	2	0.15%
9	inference in a bayesian	2	0.15%
10	a message passing pipe	2	0.15%
11	the os abstraction layers	2	0.15%
12	message passing pipe for	2	0.15%
13	on top of the	2	0.15%
14	passing pipe for interthread	2	0.15%
15	train object detector train	2	0.15%
16	machines for classification and	2	0.15%
17	object detector train shape	2	0.15%
18	detector train shape predictor	2	0.15%
19	svm tools for labeling	1	0.07%
20	detection in images as	1	0.07%
21	an online kernel rls	1	0.07%
22	implementation an online kernel	1	0.07%
23	svmrank implementation an online	1	0.07%
24	problems structural svm tools	1	0.07%
25	svm tools for object	1	0.07%
26	tools for object detection	1	0.07%
27	largescale svmrank implementation an	1	0.07%
28	in images as well	1	0.07%
29	tools for labeling nodes	1	0.07%
30	a largescale svmrank implementation	1	0.07%
31	images as well as	1	0.07%
32	as well as more	1	0.07%
33	well as more powerful	1	0.07%
34	as more powerful but	1	0.07%
35	more powerful but slower	1	0.07%
36	graphs a largescale svmrank	1	0.07%
37	but slower deep learning	1	0.07%
38	for object detection structural	1	0.07%
39	object detection structural svm	1	0.07%
40	for labeling nodes in	1	0.07%

#	URL	Whois	Check
1	http://sourceforge.net/p/dclib/wiki/Known_users/	Whois	sourceforge.net
2	https://github.com/davisking/dlib	Whois	github.com