22 Labelbox Testimonials

“I found Labelbox and had a conversation with Brian. I was able to ask about the features I needed and enterprise level support.”

“Labelbox gave us a lot of versatility by creating thoughtful ontologies with a streamlined interface. It was a critical feature and enabled us to produce high-quality labeled data with minimal errors and inconsistencies. In addition, we really liked the infinite flexibility of how classifications are set up and the product was intuitive for our pathologists to use.”

“With the streamlined design of Labelbox, we are able to cut costs on labeling by as much as 50% while maintaining the highest quality in our training data, and get to training our models faster. With human-in-the-loop model-assisted labeling, we expect another huge reduction in time and costs to the labeling process. After a preliminary model is trained, we can run a loop to generate labels from our model’s inference, and feed those back into Labelbox, effectively cutting the labeling load of our labelers to that of reviewing for false positives. That allows us to increase our capabilities and model accuracies exponentially with respect to time for the amount of components and defects we can detect and classify.”

“Using Labelbox was fun for my team. It became a bit of a game to see how much could be labeled and how our data affected the performance of the models. I’m very excited to see the roadmap of how Labelbox will grow. Teams of experts like mine will be working with this tool on the front line of machine learning technology, and interfacing with the experienced team at Labelbox will make great things possible.”

“Labelbox has become essential to our process. It is the beginning of every single deep learning exercise we do. The only thing that comes before Labelbox is recording the data.”

“What Labelbox has massively helped us with is fast iterations on our algorithms, helping us move twice as fast in this domain. The results we received from it are magnificent and their labeling user interface is the best we’ve seen for supporting our annotations efforts.”

"Labelbox serves all of our training data needs. The team is very responsive and have provided exceptional support."

"Labelbox has become the foundation of our training data infrastructure. Our data science teams create high quality labeled training data with our internal domain experts as well as external labeling services, all inside Labelbox. And, the support is exceptional!"

"This is, hands down, the best part of my experience with Labelbox so far, were highly engaged, and the quality of the annotations was amazing."

“We looked at several open source labeling solutions for our internal efforts and eventually selected Labelbox for its simplicity, ease of use, cost-effectiveness, and responsiveness of its development team. The choice was a good one and we will be using Labelbox again for our progressive and increasingly demanding AI and ML initiatives.”

“I really love the simplicity of the solution while still providing amazing functionality. The team is easy to get in touch with and are constantly working to improve Labelbox through user feedback and innovation. I highly recommend Labelbox for any size team that is working on a project that requires image segmentation or classification.”

“Labelbox is so easy to use. The documentation is accessible, and the labeling pipeline is straightforward. We just had to upload our data, customize the editor to our exact requirements, and go. We had actually budgeted a week to get it set up, but we were done in a day.”

"Labelbox facilitates the collaboration and management of multiple distributed labeling workforces, and the integration between our internal processes and the Labelbox platform is easy and works like a charm."

“Before using the Valohai and Labelbox platforms, we struggled with managing our training data creation infrastructure and manual experiment tracking. We’re now able to concentrate on model building and deployment, without sparing engineering effort and are able to speed up model training by over 10X.”

“We needed a machine learning pipeline solution and Labelbox was it!”