--- description: Scopri le funzionalità di MIPAR, i dettagli del prodotto, chi utilizza il software e quali sono i prodotti suggeriti. Attraverso le recensioni di utenti verificati potrai capire com’è la user experience, l’assistenza post-vendita e molto altro. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MIPAR - Prezzi, recensioni, informazioni - Capterra Italia 2026 --- Breadcrumb: [Home](/) > [Software di deep learning](/directory/31104/deep-learning/software) > [MIPAR](/software/181408/mipar) # MIPAR Canonical: https://www.capterra.it/software/181408/mipar Pagina: 1/3\ Avanti: [Pagina successiva](https://www.capterra.it/software/181408/mipar?page=2) > Soluzione di analisi delle immagini versatile con strumenti facili da usare che consentono a qualsiasi utente di creare algoritmi di segmentazione avanzati. > > Conclusione: valutazione di **4.5/5** stelle assegnate da 46 utenti. Miglior punteggio per il parametro **Lo consiglieresti?**. ----- ## Panoramica ### Chi utilizza MIPAR? MIPAR può essere utilizzato dai professionisti di ricerca in qualsiasi tipo di mercato che deve estrarre in modo affidabile le misurazioni dalle immagini. È specializzato in scienze dei materiali, scienze naturali e immagini aeree. ## Statistiche e valutazioni | Parametro | Valutazione | Dettaglio | | **Nel complesso** | **4.5/5** | 46 Recensioni | | Facilità d'uso | 4.2/5 | Sulla base delle recensioni complessive | | Assistenza clienti | 4.5/5 | Sulla base delle recensioni complessive | | Rapporto qualità-prezzo | 3.8/5 | Sulla base delle recensioni complessive | | Funzionalità | 4.3/5 | Sulla base delle recensioni complessive | | Percentuale di raccomandazione | 80% | (8/10 Lo consiglieresti?) | ## Informazioni sul fornitore - **Azienda**: MIPAR - **Area geografica**: Worthington, USA - **Anno di fondazione**: 2017 ## Contesto commerciale - **Prezzo di partenza**: 4950,00 USD - **Modello tariffario**: (Versione gratuita disponibile) (Versione di prova gratuita (free trial)) - **Pubblico target**: Lavoratore autonomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Implementazione e piattaforme**: Mac (desktop), Windows (desktop) - **Lingue supportate**: inglese - **Paesi disponibili**: Stati Uniti ## Funzionalità - Individuazione di dati - Visualizzazione di dati ## Opzioni di supporto - Chat ## Categoria - [Software di deep learning](https://www.capterra.it/directory/31104/deep-learning/software) ## Categorie correlate - [Software di deep learning](https://www.capterra.it/directory/31104/deep-learning/software) - [Data analysis software](https://www.capterra.it/directory/31077/data-analysis/software) ## Alternative 1. [Minitab](https://www.capterra.it/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) 2. [Microsoft Power BI](https://www.capterra.it/software/176586/power-bi) — 4.6/5 (1872 reviews) 3. [Google Analytics 360](https://www.capterra.it/software/177042/google-analytics) — 4.7/5 (8090 reviews) 4. [Tableau](https://www.capterra.it/software/77260/tableau) — 4.6/5 (2348 reviews) 5. [XLSTAT](https://www.capterra.it/software/119448/xlstat) — 4.7/5 (398 reviews) ## Recensioni ### "MIPAR- Image Analysis Software" — 5.0/5 > **Junaid** | *20 dicembre 2019* | Produzione di apparecchi elettrici/elettronici | Tasso di raccomandazione: 9.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 dicembre 2019* | Dispositivi medici | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: - 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 > > **Inconvenienti**: - 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 dicembre 2019* | Servizi ambientali | Tasso di raccomandazione: 5.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 dicembre 2019* | Ricerca | Tasso di raccomandazione: 8.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 dicembre 2019* | Trasporto aereo/Aviazione | Tasso di raccomandazione: 9.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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. ----- Pagina: 1/3\ Avanti: [Pagina successiva](https://www.capterra.it/software/181408/mipar?page=2) ## Link - [Visualizza su Capterra](https://www.capterra.it/software/181408/mipar) ## Questa pagina è disponibile nelle seguenti lingue | Lingua | 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 | | ----- ## Dati strutturati