--- description: ¿Qué es y para qué sirve MIPAR? Lee opiniones verificadas, descubre sus características, precios de planes, ventajas y desventajas. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: ¿Qué es MIPAR? - Reseñas, precios y funciones - Capterra México 2026 --- Breadcrumb: [Inicio](/) > [Herramientas de aprendizaje profundo](/directory/31104/deep-learning/software) > [MIPAR](/software/181408/mipar) # MIPAR Canonical: https://www.capterra.mx/software/181408/mipar Página: 1 de 3\ Siguiente: [Página siguiente](https://www.capterra.mx/software/181408/mipar?page=2) > Solución de análisis de imágenes versátil, con herramientas fáciles de usar que permiten a cualquier usuario crear algoritmos de segmentación avanzados. > > Veredicto: 46 usuarios lo han valorado con **4.5/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Vista rápida ### ¿Quién usa MIPAR? Los profesionales investigadores pueden usar MIPAR en cualquier tipo de mercado que necesite extraer mediciones a partir de imágenes de forma fiable. Se especializa en ciencias de los materiales, ciencias de la vida e imágenes aéreas. ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.5/5** | 46 Opiniones | | Facilidad de uso | 4.2/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.5/5 | Basado en las opiniones generales | | Relación calidad-precio | 3.8/5 | Basado en las opiniones generales | | Funciones | 4.3/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 80% | (8/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: MIPAR - **Ubicación**: Worthington, EE. UU. - **Constitución**: 2017 ## Contexto comercial - **Precio inicial**: USD 4,950.00 - **Modelo de precios**: (versión gratuita disponible) (Prueba gratis) - **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,000+ - **Despliegue y plataformas**: Mac (desktop), Windows (desktop) - **Idiomas admitidos**: inglés - **Países disponibles**: Estados Unidos ## Funciones - Descubrimiento de datos - Visualización de datos ## Opciones de asistencia - Chat ## Categoría - [Herramientas de aprendizaje profundo](https://www.capterra.mx/directory/31104/deep-learning/software) ## Categorías relacionadas - [Herramientas de aprendizaje profundo](https://www.capterra.mx/directory/31104/deep-learning/software) - [Herramientas de análisis de datos](https://www.capterra.mx/directory/31077/data-analysis/software) ## Alternativas 1. [Minitab](https://www.capterra.mx/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) 2. [Zoho Analytics](https://www.capterra.mx/software/129749/zoho-analytics) — 4.4/5 (360 reviews) 3. [Microsoft Power BI](https://www.capterra.mx/software/176586/power-bi) — 4.6/5 (1870 reviews) 4. [Google Analytics 360](https://www.capterra.mx/software/177042/google-analytics) — 4.7/5 (8089 reviews) 5. [Tableau](https://www.capterra.mx/software/77260/tableau) — 4.6/5 (2348 reviews) ## Opiniones ### "MIPAR- Image Analysis Software" — 5.0/5 > **Junaid** | *20 de diciembre de 2019* | Fabricación de productos eléctricos/electrónicos | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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. ----- ### "Well designed software for rapid image segmentation and analysis" — 5.0/5 > **Kevin** | *20 de diciembre de 2019* | Dispositivos médicos | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: - Easy for new users to pick up and use almost immediately. - Accomplishes the most important and traditionally most difficult segmentation tasks better than any other software we've used. -Regular updates address important problem. - Machine learning feature works great for segmentation. - Easily integrated with other visualization software > > **Puntos en contra**: - 3D segmentation is often problematic -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. ----- ### "Great for image analysis of biological samples" — 3.0/5 > **Hannah** | *12 de diciembre de 2019* | Servicios medioambientales | Valoración de la recomendación: 5.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: Some features are technically challenging to use and required us to upgrade our computer workstation. ----- ### "Love the software, just wish it was cheaper" — 4.0/5 > **Jenna** | *20 de diciembre de 2019* | Investigación | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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. ----- ### "MIPAR has taken our characterization to the next level\!" — 5.0/5 > **Bobby** | *13 de diciembre de 2019* | Aerolíneas/aviación | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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. ----- Página: 1 de 3\ Siguiente: [Página siguiente](https://www.capterra.mx/software/181408/mipar?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.mx/software/181408/mipar) ## Esta página se encuentra disponible en los siguientes idiomas | Local | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Datos estructurados