Hitting a wall with Dataloop? Labelbox is the enterprise-grade AI data engine built to scale with you.
Compare Labelbox versus Dataloop
Build better AI, faster
Centralize the maintenance and creation of high-quality training data needed to accelerate model production with Labelbox Catalog, Annotate, and Model.
Intuitive and easy to use
Get your team up and running quickly with self-serve onboarding and implementation. Label faster than ever, minimize errors, and heighten labeling productivity with Labelbox's intuitive user interface.
Configurable & flexible
Create custom workflows that fit your machine learning pipeline with features and APIs to easily curate, annotate, and evaluate model performance.
With Labelbox, we’re able to generate high-quality annotations by allowing our team of domain experts and labelers to collaborate more efficiently. The workflow we’ve built queues up all the work for our labelers to create image annotations, which are then sampled and reviewed by experts, and fed into ML models to make better AI diagnoses.
Miao Zhang, AI Scientist
What if I need a tool that's easy for my entire team to use?
Dataloop's user interface is built specifically with more technical audiences in mind, which may make it difficult for others like data scientists, external labelers, or non-technical users to navigate and use the tool. This could potentially result in more training and onboarding hours required to get a project off the ground.
Labelbox's intuitive user interface enables rapid adoption for both technical and non-technical users. You can easily set up custom workflows to fit your team's unique labeling and review process. Maximize and monitor labeling productivity throughout a project's lifecycle.
What if I'm also looking for dataset management capabilities?
While Dataloop has some dataset management capabilities, they lack advanced capabilities to help your team curate high-impact data for labeling. This results in your team needing to rely on in-house tools or other vendors to store, manage, and curate data for labeling projects.
Labelbox Catalog is designed to be the central hub for visualizing your data, with systems and workflows to help derive valuable business insights from your unstructured data. Leverage Catalog for weak supervision to extract key business insights or curate high-value data to send to your labeling project through finding similar data in one click or sampling methods.
What if I have questions? How accessible is support?
Rather than rely on Dataloop’s standard support offering with minimal documentation, experience best-in-class support with Labelbox.
Labelbox's robust support team includes experts that specialize in machine learning, data annotation, and labeling operations. From troubleshooting issues to guiding AI teams through industry best practices, you get dedicated access to professionals that will help you scale.
Reducing our data requirements is huge because we can get the same amount of improvement in our model’s performance in half the time and with half the effort. This was enabled through targeting the model’s weaknesses with Labelbox’s Model product and then being able to prioritize the right data through Catalog. By doing so, we’ve reduced our labeling spend and data needs by over 50%.
I work with sensitive data and am concerned about security…
Labelbox was built to reduce data privacy and IP concerns— we believe that your data should stay your data. We offer IAM delegated access, allowing you to keep your raw data in your own cloud storage service. Labelbox is headquartered in the United States, SOC2 Type II certified, and GDPR and HIPAA compliant with annual external audits. Labelbox is also headquartered in the United States, SOC2 Type II certified, and GDPR and HIPAA compliant with annual external audits.
While GDPR compliant and SOC2 Type I certified, Dataloop is not HIPAA compliant and is headquartered in Israel, which may raise concerns about data hosting and storage options as well as privacy controls.
What if I don't have a dedicated in-house labeling team?
While Dataloop seems to offer partnerships with labeling services, it is unclear if they offer expertise beyond connecting you with a labeling BPO.
On the other hand, Labelbox Boost not only offers on-demand labeling services, but also AI expertise and resources to help you iterate better. You can outsource labeling work and partner with ML experts to fine-tune your labeling workflows to ensure clarity on tasks and achieve your quality targets. We emphasize both speed and quality by employing specialized teams that will help take you from initiation to production-scale labeling in just a few days with consistent quality and accuracy.
I don’t just want to get data labeled, I'm looking for a better solution that will improve model performance
Labelbox is an all-in-one, enterprise-grade platform that is a data engine for AI. You can connect your data sources, enrich your understanding of your unstructured data, annotate data to create ground truth, and evaluate your model performance – all from a single platform. Our approach enables AI teams to leverage features such as workflows, model-assisted labeling, active learning, and advanced data selection methods to improve model performance while keeping data labeling costs to a minimum.
AI has been crucial for us to accomplish our goals and we’re using Labelbox in many of our projects and processes. It allows us to standardize how we create and manage data all in a single location and using their automation features, we’ve seen a reduction in labeling times by 2x.