Don’t settle when it comes to data quality. Leading AI teams trust Labelbox to improve model performance.
Compare Labelbox versus Appen
Higher quality data in less time
Your model is only as good as the quality of your data. Get the most out of your QA workflow with more granular and tangible insights, such as review time or average time per label, to dramatically improve labeling efficiency
Everything in one place
Leverage an end-to-end system that offers everything you need to improve model performance. From data curation and choosing a labeling vendor, to model training and diagnostic workflows, we help you build quality AI products faster than ever.
Configurable and flexible
Easily customize tasks to fit your project-specific needs with features that give you full control. Create unique review queues, flexible ontologies, and custom tasks that integrate seamlessly into your workflows.
We switched over from using crowdsourcing through Appen back in March and have been absolutely blown away by the quality and speed of Labelbox services. Not only that, we thought we would be paying more for the quality but in actuality I think we have been spending less due to the major reduction in wasted spend, annotation duplication, and need for fewer pilot/test runs.
Anne, Dialpad
But I don't have a dedicated labeling team in-house
Labelbox Boost is here to help. Our specialized on-demand labeling teams and team of machine learning experts help provide guidance, every step of the way.
While Appen also offers outsourced labeling services, when comparing Labelbox versus Appen, pay attention to the numerous concerned reviews on the workforce quality of Appen Crowd.
In comparison, we carefully curate labeling teams and match your project with labelers who are specialized and have experience in your use case, taking you from initiation to production in just a few days with maximum quality and accuracy.
I don’t want to spend more time overseeing my labeling process….
Labelbox is designed to help you improve model performance with less data. Our in-depth dashboards give your AI team visibility into actionable metrics that help you achieve desired data quality while keeping human supervision costs low.
Our team of ML experts will work with you to find the most efficient workflows to drive down labeling costs. Your labels can be reviewed, edited, and re-used at any time, enabling your team to prioritize rapid iteration and continuous improvement.
Compared to Labelbox, Appen is a traditional BPO that primarily offers labeled data as a service. While this hands-off approach might appear convenient, it actually makes it hard to effectively manage and oversee labeling quality and review. This lack of transparency into labeling QA and individual labeler performance metrics can mean you end up paying more for lower quality data.
But I heard Appen labels large volumes of data quickly for a low cost…..
At first look, it may seem like Appen provides the lowest cost, but they’re not actually a viable option for teams who want to decrease labeling costs and accelerate AI and ML projects in the long run. From a pricing perspective, Appen charges per labeled object which means your labeling spend will quickly grow proportionally to the volume of data you’re labeling.
With Labelbox Catalog, you can quickly search and visualize all of your unstructured data in one place — unlocking active learning workflows to help identify the most impactful data to label next. Paired with Model, you’re able to manage every aspect of your training data preparation, model configuration, and model error analysis to iterate faster.
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’m concerned about security and privacy, I don’t want others using my data…
In addition to being SOC2 Type II certified as well as GDPR and HIPAA compliant, Labelbox gives you full control over your data. We give you easy export and deletion options with IAM delegated access or signed URLs.
In comparison, service providers like Appen get smarter off of your data while training their own proprietary models. All efficiency gains stay with the vendor instead of benefiting you, while Labelbox helps reduce human labeling by up to 80% with automation that stays with you.
I don’t just want to get data labeled, I'm looking for a better solution that will improve model performance
Labelbox goes beyond data labeling. We’ve built a data engine that provides teams with data management, quality and performance monitoring, and advanced techniques to improve the speedy and efficiency of their labeling operations. Every aspect of the Labelbox platform is meant to accelerate model performance.
In comparison, Appen is a services-led BPO whose main offering is labeled data. There is no current roadmap for features that will help you prioritize, diagnose, or train your models.
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.