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Lorem ipsum dolor sit amet, persequeris mediocritatem vel ut. Qui et officiis salutandi sadipscing. At placerat invidunt duo, vis quem sale adipisci an, impetus electram incorrupte vix ne. Ad ipsum inani accommodare cum, adhuc timeam et cum. Consequat intellegebat ius ea. In eam utamur malorum maluisset.
No lorem moderatius eam, sea docendi propriae accusamus ea. Vivendo denique euripidis ut vis, facete convenire suavitate ne pro. Est ea decore efficiendi definitionem, aeque iisque constituto duo te. No dicunt lucilius pri. Iracundia intellegam per eu, eam et quis nisl pertinacia, nec reque scripta suavitate eu.
Pri ne autem aliquam. Ignota sapientem scripserit eu mel, labore dictas an usu, illud senserit maluisset te per. Ex per fierent intellegebat, nemore quodsi explicari mel id, ferri epicurei eu vim. Pro elit neglegentur te, mundi omittam perfecto cu cum, nisl meliore moderatius sed at. Eripuit impedit eam et.

Object Classification
Object classification involves assigning a label to an entire object or photograph.
It is a more advanced version of Image Detection. In Object Classification the neural network has to process different images with different objects, detect them and classify by the type of the item on the picture.

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Lorem ipsum dolor sit amet, persequeris mediocritatem vel ut. Qui et officiis salutandi sadipscing. At placerat invidunt duo, vis quem sale adipisci an, impetus electram incorrupte vix ne. Ad ipsum inani accommodare cum, adhuc timeam et cum. Consequat intellegebat ius ea. In eam utamur malorum maluisset.
No lorem moderatius eam, sea docendi propriae accusamus ea. Vivendo denique euripidis ut vis, facete convenire suavitate ne pro. Est ea decore efficiendi definitionem, aeque iisque constituto duo te. No dicunt lucilius pri. Iracundia intellegam per eu, eam et quis nisl pertinacia, nec reque scripta suavitate eu.
Pri ne autem aliquam. Ignota sapientem scripserit eu mel, labore dictas an usu, illud senserit maluisset te per. Ex per fierent intellegebat, nemore quodsi explicari mel id, ferri epicurei eu vim. Pro elit neglegentur te, mundi omittam perfecto cu cum, nisl meliore moderatius sed at. Eripuit impedit eam et.
Quidam antiopam has id, cu mundi simul viderer ius. Partiendo dissentias cu ius, per cu cibo maiorum.

Image Super-Resolution
Image super-resolution is the traditionally impossible task of generating a new version of an image with higher resolution and detail than the original image.
Frequently models developed for image super-resolution can be used for image restoration and inpainting as they solve related problems.
Datasets often involve using existing photo datasets and creating down-scaled versions of photos for which the models learn to create super-resolution versions.

Object Detection
Object detection is the task of image classification with localization. Any one image may contain multiple objects of different types each of which requires localization and classification. This multiplicity of objects makes this a far more challenging task than simple image classification.
At Enigma Pattern we apply various techniques for image classification with localization to provide the best possible results.


Image Reconstruction
Image reconstruction and image inpainting is the task of filling in missing or corrupt parts of an image.
This task can be thought of as a type of photo filter or transformation that may not have an objective evaluation.
Examples include reconstructing old, damaged black and white photographs and movies.
We often use datasets comprising existing similar photos. During the training phase of the process we create corrupted versions of existing photos that models then learn to repair.
Case Studies
Machine learning has evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
In Enigma Pattern we apply machine learning algorithms that can learn from and make predictions on big data. Analyzing the data, such algorithms create flexible and data-validated hypothesizes, allowing for autonomous data-driven decisions. In this rapidly evolving field we've gathered one of the best machine learning teams in the industry to help us achieve our vision.