Datature platform is very comprehensive, starting with tools for Annotation up to the deployment of the Results graphically. Datature is very user-friendly, intuitive, easy to implement, and there are many updated algorithms for machine learning. Their workers are very nice and they respond very quickly, they are very helpful. Review collected by and hosted on G2.com.

The free plan is very limited for experiencing all the functions on the Datature's platform. Also, I am a PhD student at Simón Bolívar University and there is no plan for that. Review collected by and hosted on G2.com.

Low code approach to building and training models Review collected by and hosted on G2.com.

Nothing noteworthing for the time being. Review collected by and hosted on G2.com.

The team is very helpful and efficient. It is easy to understand the platform interface, and there lots of tools to improve experience and decrease working duration. It is also easy to export models, and test them using provided scripts and documentation. Review collected by and hosted on G2.com.

Although it is easy to get trainings exported, you are limited by the computing minutes. Because of this, you may waste valuable allowance on failed experiments. Regardless, this is a hard issue to avoid and understandable and can be expected. Review collected by and hosted on G2.com.

Datature's platform is super easy to use, making it great for beginners who aren't experts in deep learning. It has tons of features to choose from, and its data tools are super efficient, which is perfect if you don't have a lot of data. I love how it's so straightforward and practical. Plus, it's great for teamwork because you can collaborate online with your team. Review collected by and hosted on G2.com.

Training minutes are limited on the Free plan so there’s not a lot of room for experimentation, but otherwise it’s more than enough to quickly get started with a working model! Review collected by and hosted on G2.com.

Datature provides toolings to do the annotation and to train models that can be used in production. Moreover, they have a very helpful and responsive team, which is priceless! Moreover, the annotation platform is very easy and intuitive to use. Review collected by and hosted on G2.com.

Nothing much. The platform is growing and the bugs are being fixes and new features are rolled out every day. Review collected by and hosted on G2.com.

The whole process from uploading my images to annotating to training the model was so smooth and didn't require a lot of effort. I was able to set up the entire pipeline within days instead of months in my previous custom implementation. The CV applications that Datature support is also wide enough where they handle anywhere from classification to object detection to segmentation to keypoints. This made my life so much simpler has I no longer have to have custom code for each of these applications. Review collected by and hosted on G2.com.

A platform tour would be ideal for new users, but with the clear categorization of each step of the process it wasn't too difficult for me to get familiar with using it. Review collected by and hosted on G2.com.

Previously when I trained models on my own, I had to use Seaborn to plot graphs, run predictions on my own to check out the results. But Datature has it all - loss curves, prediction graphical visualizations across the checkpoints, and even an in-built confusion matrix! This is really helpful for my project as I instantly know what improvements to make to either my dataset or model settings based on the results I get. Review collected by and hosted on G2.com.

It would be nice if I could compare some of the loss curves between different trainings. Review collected by and hosted on G2.com.

Intellibrush is my go-to tool to annotate complex objects. It is extremely easy to use and it is able to produce quality segmentation for all of my datasets of different use cases. Thanks to the ease of use, my team has been using intellibrush frequently for all of our labelling needs. The platform also supports plenty of annotation formats which allows my team to easily transition and onboard our existing labels and data. Review collected by and hosted on G2.com.

Intellibrush occasionally isn't pixel-perfect for some weird objects, but they have an AI refine tool that fixes the issues most of the time. Review collected by and hosted on G2.com.

Datature provides a good range of model export formats that are catered to different deployment setups, so it's really easy to convert between the formats we need without having to train separate models using different architectures. Furthermore they provide good feature suite for deployment both in cloud and on edge set up. Review collected by and hosted on G2.com.

Optimizations like quantization aren't part of their default export feature, but we've been told this can be a custom integration on their Enterprise plan. Review collected by and hosted on G2.com.

Datature Nexus let you move from ideation and data collection to a working model in such a short span of time. I like their similarity search feature, so that I can easily filter out images where people aren't wearing masks and just annotate the images with masks. Review collected by and hosted on G2.com.

Would have liked their model recommendation system to integrate with their dataset aggregation statistics has part of their recommendation considerations. Review collected by and hosted on G2.com.