Labellerr Reviews

Pros

I used Labellerr for a project involving image annotations, and I found the software extremely smooth and adaptable. We're utilizing it for our inspections module, where we capture photos of hotel rooms and mark areas for maintenance or other issues. It's great that the annotation tool is versatile enough to add new annotations and objects as needed, learning along the way. Puneet was very helpful in explaining the software and helped us get off to a strong start. Since we're already using Azure Cloud, integration was very easy, and it only took a few hours to onboard and prepare for the test project.

Cons

I think it would be really helpful if we had the option to customize the hotkeys, so my team could mark objects more quickly.

Pros

The interface of this software is designed to be incredibly simple, making it easy to understand and work with right from the start.

Cons

There's not much to point out, but sometimes there's a slight delay when handling larger datasets.

Pros

The tool is specifically designed with the needs of training machine learning models in mind. Its interface is simple and can be easily customized.

Cons

Nothing specific comes to mind, the tool is pretty straightforward to work with.

Pros

Labellerr has really streamlined our image labeling process, saving us both time and resources. The active learning annotation feature has made a big difference in improving our workflow while keeping costs under control.

Cons

It fits our needs perfectly, so I don't have much to complain about.

Pros

Labellerr's Smart Labelling feature has been a game-changer for managing our diverse data needs, effortlessly handling image, text, and audio annotations. It's perfect for tasks like transcribing customer calls or extracting key insights from sales notes. The in-browser ML models make data structuring much easier, improving the quality of our bundles and simplifying the buying experience for our customers. I also appreciate its flexibility in semantic annotation, allowing us to showcase furniture in natural home settings, similar to the physical store experience.

Cons

Labellerr is fantastic overall, but I would love to see better support for handling complex 3D models. The team has assured us that they're working on bringing in 3D labeling soon, which will really help us ensure more precise data labeling in our furniture retail e-commerce. This improvement is crucial to offering a smooth customer experience when browsing and buying furniture online.

Pros

I've been using Labellerr across multiple projects, both NLP and computer vision, and the simplicity of setting it up and annotating makes it easy to onboard even newcomers to the workflow. The strong analytics and backend tools as a superadmin give me complete control over the project's quality and management.

Cons

I'm really looking forward to seeing a fully customizable solution for customers.

Pros

The team is always available and very responsive whenever needed.

Cons

Nothing specific, though I have shared a few suggestions with the team.

Pros

Labellerr makes it incredibly easy to automate my image labeling tasks. Thanks to the active learning-based annotation, I can manage my budget more efficiently.

Cons

Not much to say here, though the team still supports auto-annotation. I believe they'll be rolling out full self-service features soon.

Pros

It is simple to use, and the interface is quite simple. I was able to bring my team on board to collaborate on the project. In addition, it supports various data formats, which was especially helpful for me.

Cons

Occasionally, there's a slight delay with larger data sets, but the autosave feature works great, so I've never lost any labels.

Pros

I recently had the chance to work with Labellerr to annotate a large set of textual data, mainly newspaper articles. My goal was to identify key elements in these articles for training data, and Labellerr was an invaluable tool in this task. The support team deserves a special mention, they were always available to offer assistance and advice, going beyond just technical help to provide insights that improved the quality of my project. Navigating the interface was effortless, which made handling such a large dataset far less overwhelming. I spent less time learning the tool and more time focusing on the actual work.

Cons

I honestly can't think of much to criticize, this is a product that's constantly evolving, and I'm excited to see how it grows alongside our organization.

Pros

It's an easy-to-use tool for image annotation tasks, scalable, and integrates smoothly.

Cons

Sometimes there's a bit of lag when working with large image files.

Pros

This is a solid tool for annotation. I can annotate images quickly, and it's great that I can manage images, videos, and PDFs all in one software without needing multiple tools.

Cons

Nothing for now, it's a solid tool for annotation, but having an undo feature would be a nice addition.

Pros

This software is highly practical when it comes to data labeling, offering a well-rounded solution for managing labeling tasks efficiently.

Cons

So far, I haven't experienced anything negative. There's really nothing to dislike.

Pros

Labellerr is a very handy tool for data labeling.

Cons

I haven't found anything to dislike so far.

Pros

This software is ideal for me as it offers fast and smooth annotation for any object.

Cons

Labellerr has been really helpful for me, so I don't have anything negative to say about it.

Pros

It's a fast and effective tool for work, making tasks much simpler.

Cons

I really don;t have anything to complain about with this software , it's incredibly efficient.

Pros

I'm able to annotate each object with both speed and precision, which has really enhanced my workflow. The efficiency of the software allows me to get through tasks much faster without sacrificing the accuracy that's so important in annotation work.

Cons

There is really no reason to dislike it; it's a very useful tool.

Pros

This software has been incredibly beneficial for me, providing a clear and simple approach to getting things done. It doesn't require much effort to figure out how to use it, making it ideal for anyone who values efficiency and ease.

Cons

There's no reason to dislike Labellerr; in its own way, it's doing a great job.

Pros

The Labellerr software is incredibly accessible and great even for beginners.

Cons

It would definitely be helpful if they added an undo option.

Pros

Labellerr is designed to handle large datasets and scale to accommodate high annotation volumes. Its robust infrastructure ensures smooth performance, even with extensive data and multiple users working simultaneously, making it very efficient for large-scale projects.

Cons

While Labellerr does offer integration with popular machine learning frameworks, it might not connect directly with every tool you use in your workflows, which could lead to a bit more manual effort when transferring annotated data to your preferred softwares.