BTC Image Classification

Fast and efficient image classification

We use deep learning techniques to automatically classify images.

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BTC Image Classification

Features

26 categories

Images are classified based on their actual content. Each category is assigned appropriate subcategories that describe the various elements found in the analyzed image.

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Quality

The ability to classify any images, as well as the variety of subcategories, makes us a high-quality image classifier.

1083 subcategories

The algorithm can accurately define the object that is in the image and assign it to the appropriate subcategory.

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High speed of classification

Classification of image files takes only 0.1 seconds.

Effectiveness > 95%

The high efficiency of classification is due to the use of advanced artificial intelligence algorithms. Subcategory classification is close to 100% if it applies to a file that participated in AI model training.

Operation 24h/7/365 days

The classifier is ready to work 24 hours a day, 365 days a year.

Low cost

In BTC solutions, the classifier is currently free. When using the classifier via API, the cost is negligible and depends on the number of queries.

Available API

The classifier can be used in other solutions – API available.

BTC Image Classification

Why should you choose it?

Automation and efficiency

By using deep learning techniques, the image classifier can perform categorization with very high efficiency. In addition, due to the speed of the classifier, it is possible to analyze many number of image files in a short time.

Recognizing sensitive data

The image classifier is a key solution for recognizing confidential company documents, such as document scans. Thanks to the deep learning methodology, the classifier correctly identifies potential image files that should be secured due to their sensitive content.

Effective protection of the organization

BTC Image Classification works very well in professional IT management and security solutions. The image classifier, through the use of algorithms based on deep learning, is able to effectively protect the organization by identifying and then securing sensitive company data.

Image classification based on URL

BTC Image Classification has the ability to make classifications based on the URL of the image being analyzed.

High speed and quality

The use of deep learning algorithms significantly affects the quality of the classifier. Its accuracy is greater than 95%. In addition, the classifier has a very high speed of operation, assigning a category takes about 0.1 seconds.

API

BTC Image Classification provides an API for use in its own solutions.

BTC Image Classification

How does deep learning work in image classification?

Upload an image file or URL of a graphic by a user for categorization

The image is sent for analysis by a classification algorithm.

Analysis of an image file

The analysis of the photo involves recognizing certain patterns learned by the algorithm at the training level of the artificial intelligence model.

Identify the most likely category and subcategories

The classifier returns the category and subcategory of the image file under analysis.

Securing confidential data

Once the files are categorized, an opportunity arises to secure the analyzed graphics considered by the algorithm as sensitive data.

BTC Project EU