Don’t settle for the basics with V7. Experience the V8 engine with Labelbox.
Compare Labelbox versus V7
Build better AI, faster
We aren’t just focused on data labeling. Our three core products: Catalog, Annotate, & Model work in tandem to help AI teams centralize the maintenance and creation of high-quality training data needed to accelerate model production.
All-in-one, enterprise-ready platform
Labelbox unites data labeling software and services, data curation, model testing and evaluation into a single enterprise-ready platform. Paired with model-assisted labeling and semi-supervised and weak supervision techniques, Labelbox is designed to improve model performance while keeping labeling costs at minimum.
Configurable & flexible
We understand that every ML project might look a little different. Labelbox gives you the freedom to create custom workflows that fit your ML pipeline with UI features and APIs to easily curate, annotate, and evaluate model performance.
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.
Christian Howes, ML Engineer
I just want the most cost-effective solution…
A cheaper solution doesn’t guarantee quality. When high-quality data is a differentiating factor for the most successful AI teams, you want to make sure you’re optimizing for quality over cost. When you prioritize cost, you often get what you pay for – which is why choosing a cheaper solution that doesn’t promote scalability is a significant risk.
Labelbox’s AI-first approach is built to get you to production AI faster. We’ve carefully designed our platform and workflows to help you achieve desired quality with the least possible spend. From model-assisted labeling to custom active learning workflows, investing in Labelbox ensures better lifetime value for your AI team. You don’t have to sacrifice cost or quality – you get the best of both worlds with Labelbox.
I heard V7 has stronger annotation features and automation capabilities….
V7’s annotation capabilities are only limited to Image and Video. V7 currently does not offer data annotation for Text, Audio, or Geospatial (tiled imagery).
Labelbox offers data annotation capabilities for Image, Audio, Video, Text, Geospatial (tiled Imagery), Conversational Text, PDF Documents, and Medical Imagery. Choosing a vendor that supports many data types will ensure that there are no surprises as you scale your AI team and projects.
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.
But I don't have a dedicated labeling team in-house
Labelbox Boost is here to help. Our on-demand labeling services and AI expertise gives you the resources you need to iterate better. 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.
In comparison, V7’s workforce emphasizes labeling speed, but be sure to pay attention to the numerous reviews of their workforce quality. V7 also charges per labeled object which means your costs will quickly rise in proportion to the amount of labeled data you have. To help with budget projection, Labelbox Boost bills per screen activity time so your costs stay the same even as projects scale.
But my data is sensitive and I’m concerned about security & privacy…
Labelbox is designed with security in mind, with features that give you full control over your data. In addition to offering hybrid cloud integration, Labelbox is SOC2 Type II certified, and GDPR and HIPAA compliant with annual external audits.
In comparison, V7’s certifications are outdated (last annual HIPAA assessment date for July 2020) and they don’t allow for hybrid cloud integration—meaning that sending signed URLs from the cloud to labelers isn't possible.
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 platform that helps you connect and manage data to improve model performance. Our approach enables AI teams to use workflows, model-assisted labeling, active learning, and advanced data selection methods to improve model performance while keeping data labeling costs to a minimum.
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%.