#AZURE – #VisionAPI implementation for image analysis

Hola

I previous posts I wrote about one of the Project Oxford features > VisionAPI .

Using the API you can analize and get different properties of an image. For example:

Image type: JPG, PNG, TIF, etc.
Image size
Type of image, clipart, line drawing, etc.
Sex-Rate score
Categories, which examines details such as “photo on the beach”, “sports field”, “mountain”. For each category is defined a value between 0 and 1, with the Score for that category
Dominant colors in the image
Result of face detection. It uses FaceAPI to the face detection and analysis of the age and sex of each

For example, if we carry out analysis in the classic background of Windows XP we have this result

windows-xp-sc 120

Image Format : Jpeg – Image Dimensions : 1280 x 800
Clip Art Type : 0 Non-clipart
Line Drawing Type : 0 Non-LineDrawing
Is Adult Content : False – Adult (0.00597422197461128)
Is Racy Content : False – Racy (0.0093834400177002)
Categories :
Name : outdoor_grass (0.60546875)
AccentColor : 1349B8
Dominant Color Background : Blue
Dominant Color Foreground : Green
Dominant Colors : Blue, Green

An old picture of Valentino in the beach return this value as main category: outdoor_oceanbeach

01 120

Image Format : Jpeg – Image Dimensions : 2048 x 1365
Clip Art Type : 0 Non-clipart
Line Drawing Type : 0 Non-LineDrawing
Is Adult Content : False – Adult (0.0140524050220847)
Is Racy Content : False – Racy (0.0120803946629167)
Categories :
Name : outdoor_oceanbeach (0.90625)
AccentColor : 765F49
Dominant Color Background : Grey
Dominant Color Foreground : Grey
Dominant Colors : Grey, White

And my cat “Anakin” is also recognized as a “cat”

02 120

Image Format : Jpeg – Image Dimensions : 478 x 478
Clip Art Type : 0 Non-clipart
Line Drawing Type : 0 Non-LineDrawing
Is Adult Content : False – Adult (0.024529742076993)
Is Racy Content : False – Racy (0.10783302038908)
Categories :
Name : animal_cat (Score : 0.9921875)
AccentColor : C78C04
Dominant Color Background : Brown
Dominant Color Foreground : Brown
Dominant Colors : Brown