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Related Pages
Related Symbols
ImageBoundingBoxes
ImageCases
ImageContainsQ
ImageContents
ImagePosition
HighlightImage
Classify
NetModel
Related Categories
Machine Learning
Image Processing
Computer Vision
Detect, Recognize & Highlight Objects in an Image
Example Notebook
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Start with an image:
I
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;
Get a summary of the content of the image:
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{
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1
3
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{
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1
3
2
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3
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7
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0
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4
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{
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0
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Using
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,
I
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get immediate access to different properties of detected objects:
I
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[
3
]
:
=
b
b
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x
=
I
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a
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B
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O
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=
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}
,
{
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3
0
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.
9
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}
]
,
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[
{
6
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1
4
6
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{
1
5
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8
6
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2
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]
}
,
d
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[
{
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1
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8
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1
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}
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{
3
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0
2
3
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1
5
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4
2
}
]
}
,
d
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i
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{
R
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c
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}
,
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4
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}
]
}
,
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1
3
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1
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}
,
{
1
2
3
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1
6
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2
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1
}
]
}
Highlight detected objects and their corresponding identification:
I
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H
i
g
h
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i
g
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I
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i
,
K
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y
D
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b
b
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,
d
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g
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a
b
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C
O
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C
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P
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O
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[
4
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=
See Also
YOLOR Trained on MS-COCO Data
YOLOX Trained on MS-COCO Data
YOLOImageLabel
Related Symbols
ImageBoundingBoxes
ImageCases
ImageContainsQ
ImageContents
ImagePosition
HighlightImage
Classify
NetModel
Publisher Information
Contributed by:
Wolfram Staff
