All language subtitles for 001 How to Find Dataset

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese Download
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,100 --> 00:00:03,750 Hello and welcome to this video. 2 00:00:03,780 --> 00:00:06,360 In this video we will explain about datasets. 3 00:00:08,180 --> 00:00:11,180 YOLO is a supervised learning object detection model. 4 00:00:11,210 --> 00:00:14,660 Supervised learning is a learning technique that employs labeled data. 5 00:00:17,110 --> 00:00:18,400 In supervised learning. 6 00:00:18,400 --> 00:00:21,100 The data to be used must have several characteristics. 7 00:00:22,100 --> 00:00:22,910 Relevant. 8 00:00:24,410 --> 00:00:25,310 Proper label. 9 00:00:26,510 --> 00:00:30,740 The data used to train the deep learning model must be relevant to the problem to be solved. 10 00:00:31,070 --> 00:00:35,810 For example, if we want to detect the car on the highway, the data must be an image of a car on the 11 00:00:35,810 --> 00:00:36,440 highway. 12 00:00:37,210 --> 00:00:39,430 Make sure the data use is properly label. 13 00:00:41,230 --> 00:00:45,010 All objects are labeled and non non object is labeled as object. 14 00:00:51,200 --> 00:00:53,240 After that how to find data sets. 15 00:00:53,750 --> 00:00:55,100 There are two methods. 16 00:00:56,930 --> 00:01:00,350 The first method is to collect information by taking photographs. 17 00:01:00,380 --> 00:01:04,819 However, this method takes longer and requires us to annotate the data after we obtain it. 18 00:01:04,849 --> 00:01:08,870 The second method is looking for open label datasets that are publicly available. 19 00:01:08,870 --> 00:01:10,820 One that is frequently used is chemical. 20 00:01:15,700 --> 00:01:17,430 How to find it, they said on cable. 21 00:01:19,680 --> 00:01:23,270 The first step is to launch a browser and navigate to the following URL. 22 00:01:25,930 --> 00:01:27,610 Next signing to cargo. 23 00:01:29,800 --> 00:01:32,470 If you do not already have an account, you can create one. 24 00:01:35,600 --> 00:01:38,600 In this video, I'll sign into Kaggle with my Google account. 25 00:01:39,960 --> 00:01:41,430 Click sign in with Google. 26 00:01:43,970 --> 00:01:45,950 Since the Google account you want to use. 27 00:01:54,770 --> 00:02:00,350 After successfully signing in click datasets in the following search box type in the keyword dataset 28 00:02:00,350 --> 00:02:01,250 you're looking for. 29 00:02:02,430 --> 00:02:05,790 In this example, we'll be looking for a dataset of face masks. 30 00:02:12,510 --> 00:02:13,890 This is the search result. 31 00:02:16,970 --> 00:02:20,250 When choosing a data set, there are several factors to consider. 32 00:02:20,270 --> 00:02:22,310 The first consideration is usability. 33 00:02:22,340 --> 00:02:24,200 The second is the data sets ready. 34 00:02:25,460 --> 00:02:29,030 We tried to select a dataset with high usability and ready. 35 00:02:31,360 --> 00:02:33,580 The license is the next point to consider. 36 00:02:42,220 --> 00:02:43,620 Customized to your needs. 37 00:02:43,630 --> 00:02:48,460 If you use the data set for commercial purposes, make sure that the data set is licensed for commercial 38 00:02:48,460 --> 00:02:49,060 use. 39 00:02:53,940 --> 00:02:57,020 To download the dataset, click the download button over here. 40 00:02:57,030 --> 00:02:58,890 Wait until the download is finished. 41 00:03:13,280 --> 00:03:15,800 This is a downloaded dataset of face masks. 42 00:03:17,080 --> 00:03:18,520 See you in the next video. 3618

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.