---
description: MIPAR : qu'en pensent les utilisateurs ? Lisez les avis clients sur MIPAR, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress
title: MIPAR - Avis, notes, prix et abonnements - Capterra Luxembourg 2026
---

Breadcrumb: [Accueil](/) > [Deep learning](/directory/31104/deep-learning/software) > [MIPAR](/software/181408/mipar)

# MIPAR

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> Solution d'analyse d'images polyvalente avec des outils faciles à utiliser qui permettent à tout utilisateur de créer des algorithmes de segmentation avancés.
> 
> Conclusion : 46 utilisateurs lui ont donné la note de **4.5/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise MIPAR ?

MIPAR peut être utilisé par les professionnels de la recherche sur tout type de marché devant extraire de manière fiable des mesures à partir d'images. L'éditeur est spécialisé dans les sciences des matériaux, les sciences de la vie et l'imagerie aérienne.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.5/5** | 46 Avis |
| Simplicité | 4.2/5 | D'après l'ensemble des avis |
| Support client | 4.5/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 3.8/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.3/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) |

## À propos de l'éditeur

- **Société**: MIPAR
- **Pays**: Worthington, É.-U.
- **Fondé**: 2017

## Contexte commercial

- **À partir de**: 4.950,00 $US
- **Type de licence**:  (Version gratuite disponible) (Essai gratuit)
- **Public cible**: Auto-entrepreneur, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+
- **Déploiement et plateformes**: Mac (ordinateur), Windows (ordinateur)
- **Langues**: anglais
- **Pays disponibles**: États-Unis

##  Fonctionnalités

- Data discovery
- Visualisation de données

## Ressources d'aide

- Chat

## Category

- [Deep learning](https://www.capterra.lu/directory/31104/deep-learning/software)

## Catégories connexes

- [Deep learning](https://www.capterra.lu/directory/31104/deep-learning/software)
- [Logiciels d'analyse de données](https://www.capterra.lu/directory/31077/data-analysis/software)

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2. [Microsoft Power BI](https://www.capterra.lu/software/176586/power-bi) — 4.6/5 (1871 reviews)
3. [Google Analytics 360](https://www.capterra.lu/software/177042/google-analytics) — 4.7/5 (8089 reviews)
4. [Tableau](https://www.capterra.lu/software/77260/tableau) — 4.6/5 (2348 reviews)
5. [XLSTAT](https://www.capterra.lu/software/119448/xlstat) — 4.7/5 (398 reviews)

## Avis

### "MIPAR- Image Analysis Software" — 5.0/5

> **Junaid** | *20 décembre 2019* | Fabrication électrique/électronique | Taux de recommandation : 9.0/10
> 
> **Avantages**: The software is giving some unique and rare features. The imaging technology is integrated into the field of Materials Science, Molecular Biology and inspection problem with integrated Deep Learning models. These are very good options for the researcher to implement Artificial Models in these fields. While other popular software such as libraries, codes, models, and documentation are not available with such depth.
> 
> **Inconvénients**: The software is really nice for image analysis and has a decent number of contributors but the documentation, community development, and some further inclusion of libraries and models will be more helpful for researchers and developers.
> 
> In the field of molecular biology integration with deep learning models and image analysis is a rare and helpful feature. Moreover, the material image analysis feature are helpful in research, data collection, and analysis.

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### "Well designed software for rapid image segmentation and analysis" — 5.0/5

> **Kevin** | *20 décembre 2019* | Appareils médicaux | Taux de recommandation : 10.0/10
> 
> **Avantages**: - Easy for new users to pick up and use almost immediately.&#10;- Accomplishes the most important and traditionally most difficult segmentation tasks better than any other software we've used. &#10;-Regular updates address important problem. &#10;- Machine learning feature works great for segmentation.&#10;- Easily integrated with other visualization software
> 
> **Inconvénients**: - 3D segmentation is often problematic&#10;-We are still interested in tools to validate machine learning segmentation, using either images we generate from real data or images with simulated noise. It would be great if this could be incorporated into the platform.
> 
> We tried MiPar about when it first came out and we use it almost exclusively for our routine segmentation and analysis problems. The recipes are easy to develop and the technical support is phenomenal.

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### "Great for image analysis of biological samples" — 3.0/5

> **Hannah** | *12 décembre 2019* | Services environnementaux | Taux de recommandation : 5.0/10
> 
> **Avantages**: This software is relatively intuitive to use and customer support has been helpful with some challenges we have come across. We use it to analyze a wide range of samples and the recipes enable us to measure a wide range of traits on many different samples.
> 
> **Inconvénients**: Some features are technically challenging to use and required us to upgrade our computer workstation.

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### "Love the software, just wish it was cheaper" — 4.0/5

> **Jenna** | *20 décembre 2019* | Recherche | Taux de recommandation : 8.0/10
> 
> **Avantages**: I love that you can edit and go back to each layer and look at overlays with the original image easily. With the images I analyze, they all have different contrast and stuff, so the recipes don't always select the parts of the image that I want. But, because of the ease to edit each feature, I can manually make edits and then re-take the measurements. It makes double-checking measurements easy and increases the accuracy of my measurements.
> 
> **Inconvénients**: The cost. We've had to plead with our supervisor to keep our subscription for the software because there are many other free softwares we could use instead. We've explained that Mipar saves us a lot of time and increases accuracy a lot, so we've been able to get the money for it thankfully.
> 
> Really really good. You guys have made many improvements since the first versions, and I hope to keep using it in my future work.

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### "MIPAR has taken our characterization to the next level\!" — 5.0/5

> **Bobby** | *13 décembre 2019* | Compagnies aériennes/Aéronautique | Taux de recommandation : 9.0/10
> 
> **Avantages**: MIPAR is a powerful, easy to use software product that has significantly advanced our characterization and analysis abilities within our materials labs. I like that it was primarily designed with materials engineering in mind and that the company has focused on creating an intuitive, easy user interface. I also really appreciate the level of personalized support that MIPAR offers.
> 
> **Inconvénients**: I do not have many problems with MIPAR. The main one that comes to mind is the fact that the image analysis recipes regularly are forced to "re-run" during the recipe development process. This is a minor gripe and has not limited my ability to use MIPAR or extract valuable information from it.
> 
> Our materials engineering organization has seen significant value from MIPAR. It has advanced our characterization and analysis tools by enabling further in-depth quantitative analysis of microstructural features. I have had multiple positives experiences with MIPAR in regards to recipe development, customer support, and troubleshooting. I highly recommend MIPAR to my peers and customers because I have experienced the value that the software brings.

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## Liens

- [Afficher sur Capterra](https://www.capterra.lu/software/181408/mipar)

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