Datature makes data labeling and model training processes extremely efficient and user-friendly. The platform’s interface is very intuitive and allows us to label quickly. The tools it offers to increase the accuracy of data used in AI and machine learning projects are especially useful. In addition, automatic labeling and quantized model export features helped me save time when working on embedded systems. Quick labeling and organization of data allows projects to progress faster. Review collected by and hosted on G2.com.

So far I have not had any negative experiences with Datature. It meets my expectations and the platform works quite stable. Perhaps more integration options and some additional customization features would be useful for users with different needs. Review collected by and hosted on G2.com.

Datature is an exceptional AI vision platform that streamlines model training, deployment, and management. What truly inspired me to write this review is Datature’s outstanding live support for researchers and students, which made this evaluation possible.

I frequently use Datature to train and annotate large datasets, and its Python SDK has been a game-changer. The seamless integration into my workflow makes the platform incredibly user-friendly, allowing for efficient implementation and extraction of finalized data. This has significantly enhanced my research, saving both time and effort.

For anyone in academia or research looking for an intuitive and powerful AI vision solution, Datature is an excellent choice. Highly recommended! Review collected by and hosted on G2.com.

One potential drawback, especially for personal users, is the price tag. However, considering the platform’s outstanding performance, quality, and ease of use, it can also be seen as a worthwhile investment for those serious about AI vision projects. Review collected by and hosted on G2.com.

Datature makes it easy for building computer vision projects without writing a single line of code. I was able to upload my datasets, annotate images and test workflow. The interface is intuitive and the tools are well structured for both beginners and professionals. Review collected by and hosted on G2.com.

Currently, the platform is focused on standard workflow. I would love to see offline deployment options, especially for developers in regions with limited connectivity. Review collected by and hosted on G2.com.

First of all, I really liked how the tools needed for annotation and labeling in the vision computer task were provided for the user to use conveniently. Also, the responses to inquiries were very quick and friendly. If you are having a hard time with labeling or annotation tasks in the computer vision field, I highly recommend this SW. Review collected by and hosted on G2.com.

It doesn't seem like much. They are convenient and good tools. Review collected by and hosted on G2.com.

user friendly interface. no coding needed. support team is swift. Review collected by and hosted on G2.com.

nothing. whatever problem arises are solved quickly by the support team. Review collected by and hosted on G2.com.

the interface, no coding required for model training, quick response from support team Review collected by and hosted on G2.com.

nothing I found till now. Whatever problems I am facing it is being handled well by the support team Review collected by and hosted on G2.com.

Datature really makes the whole machine learning process damn easy, especially for computer vision stuff. Whether you're a tech expert or just starting out, their no-code/low-code platform has everything you need—dataset prep, image annotation, model training, and deployment—all in one place. No need to be a programming pro imo

They’re super focused on computer vision, so they’ve got all the right tools, like advanced annotation features and even dataset versioning, which makes life so much easier. Plus, the platform is built for teamwork, so everyone can collaborate smoothly on datasets and models without any headache.

When it’s time to deploy, their tools are straightforward and come with cool visualizations to help you understand what’s going on. Everything just works seamlessly, so it’s perfect for anyone or any team looking to speed up their AI projects without the usual stress. Review collected by and hosted on G2.com.

Datature does make machine learning a lot easier and more accessible, but for advanced users, it might feel a bit limiting. If you're the type who likes full control over things like customizing models, fine-tuning, or setting up unique workflows, it might not fully scratch that itch.

The no-code approach is solid for keeping things simple, but if you’re looking to dive deep into the technical stuff or experiment with super customized setups, it might not be enough. It’s good man, but maybe not for those who want to tinker at a pro level. Review collected by and hosted on G2.com.

It made the process of getting started with ML extremely easy from annotating images to choosing a model to train with. The best part of Datature to me is that they have youtube tutorials making the learning process that much easier. Review collected by and hosted on G2.com.

One of the annotation tools didn't have clear instructions on how to commit the annotation. But when I mentioned this issue within the slack channel someone was there to help me within a few hours. Review collected by and hosted on G2.com.

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.