“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 …

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

“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 …

“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 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 …

“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 …

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

“Field management practices and problems impacting the field vary significantly per country, field, climatic zone and field zone. Regional experts are vital to achieving high quality in annotated data.”

“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.”

“Using your platform and Workforce service has been very easy and effortless. The quality of the labels, especially with regard to the care that was taken to make sure the boundaries of each zone were traced out as accurately as possible. This has really improved the results of our neural …