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PROCESSING IMAGE DATA
 

Give your software the sense of sight

With just a few images, you can create an industry level computer vision model in a matter of hours.

High quality and quantitative data is key to working with AI. Moreover, if the data you want to work with consists of images, zerocodeai offers a number of powerful solutions that you can benefit from. Below you will find an overview of how you can apply Deep Learning to image data for classification, segmentation or similarity search.

Label

Image Classification 
 

Image Sementation 

Image Similarity 

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Image regression 

Example

Search Query

Result

Man

Dance

Hat

Image
Classification

Image classification seeks to predict labeling or a predefined category for given images. By using an image classification model, you can automatically tag or label images, mark anomalies, classify defects, and more. 

Image
Segmentation

With image segmentation, you can highlight areas of interest directly over the images. This lets you know not only if a particular object is present, but also where it is, how big it is, and what its outline looks like. 

Example

Search Query

Result

Example

Search Query

Result

57%

47%

27%

77%

Image
Similarity

The image similarity aims to determine the degree of similarity between two or more images. Using the image similarity model, you can automatically compare and find visually similar images. This means that for a given set of images, the model can provide a quantifiable measure of how similar they are to each other and present you with the best matches.

Image
Regression

Image regression lets you predict values directly from images. Which means you can create models that predict the time until the next part failure, estimate harvesting rights, evaluate the potential impact on image assets, and more. 

Search Query

Result

43% chance to go viral

Are you ready to give your software the sense of sight? Then start now 

See how machine learning can transform your business and change how you make decisions.

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