22 Labelbox Testimonials

“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.”

"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."

“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.”

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

“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.”

“There are many labeling tools out there but the Labelbox backend is the real differentiator. With dynamic queueing, our labelers are never out of work, which was a major upgrade compared to our old internal tools — both from a productivity and speed-to-production point of view.”

"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."

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

“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.”

“Our experts found these straightforward to use and were able to annotate data very quickly to a high standard."

“The labeling team did a great job the overall experience with Labelbox was awesome!”

"Core to the enablement of AI based machine learning algorithms for our Intelligence Community and National Security partners is the need to accurately and cost-effectively label vast amounts of training data. Labelbox, offers our partners a state-of-the-art data annotation and data labeling platform for our IC partners to quickly and cost effectively label their AI training data."

“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.”

“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.”