Build your own image classification models to interpret and categorize the content within images

SentiSight.ai 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 SentiSight.ai platform is simple for beginners, yet powerful for experts

SentiSight.ai 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 SentiSight.ai 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.

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Use a pre-trained image classification model

SentiSight.ai 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 SentiSight.ai 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

REST API

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

On premise solution

On Premise Models

The SentiSight.ai 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 SentiSight.ai 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

Image Classification Models User Guide

Our platform contains numerous tools, ranging in capability and complexity. For new users to the image recognition field this can be slightly daunting which is why we have simplified the image classification model training process by providing a user guide.

As previously mentioned, training your image classification model revolves around a straightforward process:

  1. Uploading Images
  2. Labeling Images
  3. Training the model courtesy of SentiSight.ai

Our comprehensive user guide includes an in-depth breakdown of multiple image classification model features including:

  • Upload images: learn to upload the images individually, as a folder, zip buttons or using our API.
  • Label images: figure out how to label with one shape for the purpose of image classification, including using shortkeys to speed up the process and adjusting the tools settings to suit the needs of your task.
  • Training your image classification model: many parameters can be altered depending on the experience of the user. Also, learn how to delve deep into the analysis of your models performance.
  • Making predictions: make new predictions on previously used or new images via the SentiSight.ai web-interface or use your code of choice to run predictions via our REST API.
  • Using your image classification model offline: clear instructions on how you can set up your trained model to use offline by setting up your own REST API server on a Linux system.

For more information on all of the above visit our user guide here.

In addition to the user guide, we also provide a detailed video tutorial for our users so they can fully get to grips with training their image classification models via SentiSight.ai.

Use SentiSight.ai Image Classification for yourself

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

Summary of Image Classification Model Pricing

SentiSight.ai 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. New users get €20 of free credits when you sign up for a SentiSight.ai account. Every user receives €5 a month of free credits for use on the platform. There is no need to enter your billing information to receive these free credits. Therefore, the SentiSight.ai platform can be completely free to use if you do exceed the €5 monthly free credit buffer.

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 1,441+ minutes
1 Minute Training Time 0.048 – 0.06 EUR 0.6 EUR / min 0.048 EUR / min
Preprocess Image Calculated as training time 0.6 EUR / min 0.048 EUR / min

Make Predictions Using your Image Classification Model

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

Each user gets 5GB of disk space for free, with additional disk space available for 1 GB for 0.1 EUR / month.

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