2 avis
Zegami

Zegami

Accélérer le parcours des données et du machine learning.

4,5 /5 (2 avis)
Note globale
4,5
/
5
Rapport qualité-prix
0
Fonctionnalités
5
Simplicité d'utilisation
4,5
Support client
5
100% des utilisateurs recommandent cette application
2 avis
Maria K.
Secteur d'activité: Recherche
Taille de l'entreprise: 13-50 employés
Traduire en français

Zegami's functionality review

Logiciel utilisé toutes les semaines pendant 6 à 12 mois
Publié le 02/12/2019
Provenance de l'avis : Capterra

The overall experience with Zegami has been great! I really like using the software and it helps spots trends in my data much quicker than in any other way. I think is very visually pleasing and easy to use.

Avantages

What I like most about the Zegami software are the different views one can have of the data, especially the graph and scatter view and the fact that one can change the axes. I also like the filtering functionality and also the fact that is so easy and smooth to create a collection and also edit it.

Inconvénients

Sometimes the zoom functionality is not working as I would like e.g. sometimes it zooms too much into a tile and some other times it zoome and shows 4 half tiles.

Note détaillée

Simplicité d'utilisation
Support client

Probabilité de recommander le produit: 10.0/10

George S.
Traduire en français

We are really excited about Zegami!

Publié le 26/03/2015
Provenance de l'avis : Capterra

The first image collection we loaded into Zegami is an experiment looking at nitrogen use in wheat growth. With our existing tools, we were able to see a significant drop in the Projected Shoot Area measurement on day 60 of the experiment. (Projected Shoot Area is the area in pixels of the plant viewable in that 2D image.) Looking at the images one-by-one, our initial reaction was that the drop was due to the plant entering the next phase of development - when energy goes from growing leaves into producing flowers. It wasn't until we used Zegami to look at the surrounding images that we realised that they actually looked much brighter. A bit more investigation turned up the fact that our imaging system had stopped for 3 hours in the early morning before being corrected. This meant that almost half of the nearly 500 plants were imaged in the middle of the day instead of the early morning for that day. While this outage had been noted somewhere, it wasn't expected that the changes in ambient light would have had such a drastic effect on the analytical results and Zegami made it incredibly easy to track down this blip in the results.

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Réponse de Zegami

Thank you for the feedback!

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