The open source framework to easily build & deploy your computer vision solutions

Computer vision, quick and simple

Save time in your Computer Vision projects

The best state-of-the-art algorithms in 1 click

We select the best state-of-the-art algorithms available in Open Source in all major fields of Computer Vision (classification, detection, segmentation, pose…), and we test them for you.

No-code tool for junior developers

 

Use all our algorithms without writing a single line of code.

Test OpenCV in 1 click or start using deep learning algorithms effortlessly.

Low-code solution for experienced developers

Integrate your own algorithms into Ikomia STUDIO to test, compare and improve them.

Then run them anywhere, on any machine.

Easily deploy your algorithms with the API

Our API allows you to deploy your Computer Vision applications on any remote computing server (Google Colab, AWS, GCP…) or on your own servers.

3 tools for a complete solution

TransUNet
TransUNet

Inférence TransUNet for semantic segmentation.

Paper : TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. J. Chen, Y. Lu, Q. Yu, X. Luo, E. Adeli, Y. Wang, L. Lu, A-L. Yuille, Y Zhou. Preprint 2021

Original code : github.com/Beckschen/TransUNet

Detectron2 DeepLabV3Plus

Inference DeepLabv3+ from Detectron2 for semantic segmentation.

Paper : Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam. ECCV 2018

Original code : github.com/facebookresearch/detectron2

Ikomia API

Ikomia API is a Python library that allows you to easily prototype your Computer Vision application. Whether it’s a workflow from Ikomia STUDIO or a workflow from scratch, easily run state-of-the-art algorithms on any type of machine (desktop computer, calculation servers, cloud computing) in a few lines of code.

Apply an algorithm on your data in 1 click.

Keep an eye on your workflow.

Evaluate the results.

Easily configure your models

Ikomia HUB

TransUNet
Inférence TransUNet pour la segmentation sémantique.

Papier : TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. J. Chen, Y. Lu, Q. Yu, X. Luo, E. Adeli, Y. Wang, L. Lu, A-L. Yuille, Y Zhou. Preprint 2021

Code : github.com/Beckschen/TransUNet

Inférence TransUNet pour la segmentation sémantique.

Modèle d’inférence DeepLabv3+ de Detectron2 pour la segmentation sémantique.

Papier : Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam. ECCV 2018

Code : github.com/facebookresearch/detectron2

Ikomia API

Ikomia API

Ikomia API is a Python library that allows you to easily prototype your Computer Vision application. Whether it’s a workflow from Ikomia Studio or a workflow from scratch, easily run state-of-the-art algorithms on any type of machine (desktop computer, calculation servers, cloud computing) in a few lines of code

Build your Computer Vision solution in a fluid and intuitive way

01

Install

Ikomia API to apply models to your images or videos in a few lines of code.

02

Import

and easily open your images, videos, video streams and annotated datasets.

03

Model

your idea quickly with state-of-the-art models and create your first PoC.

04

Deploy

your CV solution on cloud or embedded system.

01

Install

Ikomia API to apply models to your images or videos in a few lines of code.

02

Import

and easily open your images, videos, video streams and annotated datasets.

03

Model

your idea quickly with state-of-the-art models and create your first PoC.

04

Deploy

your CV solution on cloud or embedded system.

Start your project

Install Ikomia API

You can install Ikomia API through the PIP package management system.

Our API is compatible with Python 3.7 / 3.8 / 3.9 .

				
					pip install ikomia
				
			

or download Ikomia STUDIO

Laboratory of Informatic
LIttoral ENvironnement Et Sociétés
Natuition
Laboratoire Mathématiques, Image et Applications
kaptor
French Office of Biodiversity
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Want to know what AI can do for you?