Image Analysis Toolset

Image Analysis Toolset

# Small description:
Scan text, making colorimetric analysis, identifies objects, logos and landmark.

# Full Description
Image Analysis Toolset, is a multifunctional App that offers many features to analyze pictures:

- Element Identifier:
To identify elements of a picture and search info about them. It supports broad sets of categories ranging from inanimate objects to plants and animals.

- Web image detector:
To find information about the image, searching the Internet for similar images with a cross comparison.

- Logo Identifier:
To detect the logo of a product or a service and search related information.

- Landmark Identifier:
To detect popular natural and man-made structures within an image and search related information.

- Optical Text Recognition (OCR):
To digitize the text of a picture or of a scanned document so you can easily edit or put it wherever you want.

- Barcode Detector:
Can identify almost all types of barcodes.
1D barcodes: EAN-13, EAN-8, UPC-A, UPC-E, Code-39, Code-93, Code-128, ITF, Codabar;
2D barcodes: QR Code, Data Matrix, PDF-417, AZTEC.

- Colorimeter:
With colorimeter you can identify all colors within an image and see their representation in RGB and HEX notation. For each detected color, the app will tell you the name of the color or the name of the most similar color, in case the color tone is uncommon and has no name.

- Censorship Risk Meter:
This tool allows you to check an image to determine if its content could be censored by automatic system or lead to ban. This feature is useful since many social networks and websites perform automatic checks of the uploaded pictures and could take actions against the user if a critical content is detected.

- EXIF Info:
This feature allows you to load and extract EXIF metadata from picture files, if available.

NOTE
Unlike others apps that use crowdsources tagging services, that involve people that manually add tags to pictures. The detection in Image Analysis Toolset is entirely driven by deep learning, this means that only advanced artificial neural networks handle the loaded pictures without manual human interventions.