Build your own Image Segmentation Models to detect objects on a pixel-level detail. is the place to build your own Image Segmentation models.

Instance segmentation is a challenging computer vision task of recognizing and defining each object of interest present in an image at a pixel-level accuracy. It works by detecting a bounding box around each object and then classifying each pixel in the bounding box as either belonging to the object or not, making it a mix of object detection and segmentation.’s intuitive and user-friendly interface allows everyone, whether you are a novice or an expert, to train your own model for Image Segmentation.

If you have the idea of how apply and use image segmentation models, is the place to build it.

Image Segmentation Models 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 image segmentation 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 precision-recall curves
  • Set score thresholds for each class individually or use optimized ones
  • Choose the model size
  • Fully customize the validation set
  • View and filter predictions on the training and validation sets
  • Use unlabeled images as negative samples

Use Cases and Industry Applications of Image Segmentation Models

Image Segmentation has an assortment of use cases and applications across a range of industries.

Features of the Image Segmentation Tool

Train your image segmentation models or use a pre-trained model

Image segmentation models can either be trained on your own images or pre-trained models can be used.

Object detection icon

Train your own image segmentation model

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

Check out our quick-start guide to help get you started!

Pretrain model icon

Use pre-trained image segmentation model has a pre-trained image segmentation model that can be used as a turnkey solution. You can use the pre-trained model.

Four different ways to use the Image Segmentation Tool

You can deploy your image segmentation 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 model for image segmentation, which is great for trying out your models or using them if you do not require scalability.

Rest API


Using the REST API to build your image segmentation models, this offers you a great deal of flexibility and scalability without the need for expensive hardware such as GPUs.

On premise solution

On Premise Models

The image segmentation 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 segmentation 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 Segmentation 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 segmentation model training process by providing a user guide.

As previously mentioned, training your image segmentation model to identify the location of the specified object within a given image revolves around a straightforward process:

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

Our comprehensive user guide includes an in-depth breakdown of multiple image segmentation 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 segmentation, including using shortkeys to speed up the process and adjusting the tools settings to suit the needs of your task.
  • Training your image segmentation 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 web-interface or use your code of choice to run predictions via our REST API.
  • Using your image segmentation 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.

Video Tutorial

Image segmentation model training tutorial

Topics covered:
  • Basics of bitmap and polygon labeling
  • Smart labeling tool
  • Training image segmentation model
  • Viewing predictions on training and validation sets
  • Analyzing performance statistics
  • Changing score thresholds
  • Making predictions via web platform
  • Using the model for AI-assisted/iterative labeling
  • Making predictions via REST API
  • Downloading offline model

Use Image Segmentation for yourself

To get started using the our platform for training your very own image segmentation models, simply register for a account and head over to the dashboard to get started!

Summary of Image Segmentation 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. New users get €20 of free credits when you sign up for a 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 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 Segmentation tool are as follows;

Train your Image Segmentation Model Pricing

  Pricing Range 0-1,440 minutes 1,441+ minutes
1 Minute Training Time 0.048 – 0.06 EUR 0.6 EUR / minute 0.048 EUR / minute

Image Segmentation Model Predictions

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

For more information on how to download an offline version of pre-trained model, click herePlease contact us for a custom quote for a model download license.

If you are interested in a managed human workforce for image segmentation annotation, please, contact us.