WOLFRAM NOTEBOOK

1.Computer Vision and Machine Learning

◼
Employ Version 11.3

1.1 Segmentation as Clustering

In[]:=
img=
;
In[]:=
RemoveBackground[img,{"Foreground","Uniform"}]
Out[]=

1.2 Object Recognition as Classification

img=
;
data=ImageIdentifyimg,
car
WORD
,10,"Probability"
convertible
0.917259,
automobile
1.,
saloon
0.0504144,
coupe
0.0227504,
station wagon
0.00719825

1.3 Image Understanding as Landmark Detection

img=
;
HighlightImage[img,ImageKeypoints[img,"MaxFeatures"30]]
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