Image classification -

Image classification

Build your own image classification models to interpret and categorize the content within images is your place to train your own Image Classification Models.

Image classification is used to predict the content of images. The model will classify the content of the image into specified classes, as well as provide a confidence estimate of each classification prediction in the form of a percentage.

Image classification models take two forms; single-label classification and multi-label classification.

Single-Label Classification

A single-label classification model predicts the specified class of the content within the image that has the highest probability.

Single-label models are often easier to train, and offer more accurate predictions as to the content within the image.

Multi-Label Classification

A multi-label model predicts all of the specified classes that were identified within the image.

Multi-label classification tools are useful when you need to identify several objects or concepts within the same image.

Struggling to decide whether you need
a Single-Label or Multi-Label Classification model?

Train models for Image Classification in Three Easy Steps


The platform is simple for beginners, yet powerful for experts also offers advanced features, that allow you to set a range of different parameters for training your models, as well as being able to view detailed statistics of the trained models. All of it is optional for beginners, but can come in handy for our advanced users!


These advanced features include:

  • View learning curves
  • View confusion matrices (single-label classification)
  • View precision-recall curves (multi-label classification)
  • Set score thresholds for each class individually or use optimized ones (multi-label classification)
  • Choose the model size
  • Set the Learning Rate
  • Fully customize the validation set
  • View and filter predictions on the training and validation sets

Use Cases of Image Classification

Features of the Image Classification Platform

Train your image classification model or use a pre-trained model

Image Classification models can either be trained on your own images to identify concepts you labeled or pre-trained models can be used to identify a pre-defined set of concepts.

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Train your own classification model

Training your own Image Classification Model sounds daunting, but our user-friendly interface allows even a novice to train a model unique to your requirements.

Image classification icon

Use a pre-trained image classification model has several pre-trained image classification models that can be used as turnkey solutions. You can use the “General pre-trained model” if the classification label you want to recognize is included in this list of labels or you can use “Places pre-trained model” to recognize one of the places that is included in this list of labels.

Four different ways to use the Image Classification Tool

You can deploy your Image Classification models in a number of ways, depending on your requirements and set-up.

Web interface

Web Interface

Using the tools on the Web Interface is the quickest and most straightforward way to train and build your own image classification models, without the need for expensive hardware such as GPUs.

Rest API


Using the REST API to build your image classification models offers you a great deal of flexibility and possibilities

On premise solution

On Premise Models

The image classification tool is available to download for offline use, allowing you to use the tool without the need to send data to our server.

Sentisight on mobile

Mobile app

The mobile app enables users to easily make image classification predictions from their phone, as well as uploading images to their projects.

Get Sentisight app on Google Play

Download Sentisight app on the App Store

Use Image Classification for yourself

To get started using the Image Classification, simply register for a account and head over to the dashboard to get started!

Summary of Image Classification Model Pricing is supported by a pay-as-you-go wallet based system that allows users to pay for only what they use, maximising flexibility and value for money. The cost to train and use the Image Classification tool are as follows;

Train your Image Classification Model Pricing

Pricing Range 0-1,440 minutes eur/min 1,441+ minutes eur/min
1 Minute Training Time 0.048 – 0.06 EUR 0.6 0.048
Preprocess Image Calculated as training time 0.6 0.048

Make Predictions Using your Image Classification Model

Pricing Range 1-10,000 Predictions eur/prediction 10,001-100,000 predictions eur/prediction 100,000+ predictions eur/prediction
Prediction 0.0008-0.001 EUR 0.001 0.0009 0.0008

For full details of’s pricing model, including project management features and extra disk space, please visit the Pricing Page.

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