AI teams choose Labelbox over V7 to generate the highest quality data across all modalities
Why AI leaders choose Labelbox over V7
High-quality data across all modalities
Generate powerful human data to differentiate your generative AI solutions, whether building frontier models or performing post-training and RLHF.
Rapid delivery with global workforce
Deliver data on-demand by accessing Labelbox’s network of highly-skilled experts and reach the scale you need to accelerate your AI project timelines.
Essential control
Create custom workflows and engage in real-time communication with external labelers to align on outputs through an open, transparent platform.
"Labelbox has enabled us to dramatically improve our model performance for our most critical AI initiatives by tapping into their network of expert labelers and platform for human evaluation. In the past two months, our document intelligence teams are seeing a 2X increase in data quality compared to previous vendors. We continue to work with Labelbox to further enhance our genAI capabilities and to hit our development timelines."
Human data lead
Generate guaranteed high-quality data with an expert labeling workforce
Although V7 does offer labeling services, their network is limited with only 5,000+ labelers available and domain expertise primarily in the medical space. Their labeling workforce appears more suitable for basic computer vision tasks, so they may find it difficult to meet the more nuanced needs of generative AI or LLM tasks.
In order to provide the highest quality data, Labelbox operates the Alignerr community, a network of 10,000+ highly educated experts that span numerous languages and subjects–with the ability to rapidly attract new talent in areas needed. We stand behind the quality of our labeling services, so if a labeled dataset does not meet a customer’s quality standards, we will happily do it again for free.
Scale with an end-to-end platform for all data types
V7 Darwin’s annotation capabilities are only limited to image,video, and text (primarily text extraction) with no capabilities for audio, geospatial (tiled imagery), or multimodal data. Basic data curation is done primarily through restrictive tags and filters, with NLP search limited to file names. High-level evaluation capabilities are limited to certain model types.
As a data factory for the end-to-end data labeling process, Labelbox allows users to curate, visually explore with NLP search, and annotate their data, as well as evaluate their models with in-depth metrics and human-in-the-loop insights. Built-in editors are available for a wide range of data types that include multimodal chat, LLM prompt/response, video, image, audio, PDF, geospatial, and more to support a wide range of tasks from a unified platform.
Accelerate generative AI and LLM development
V7 capabilities are primarily centered around computer vision with minimal, out the box features for generative AI development. Their gen AI solution, V7 Go, is limited with only basic human-in-the loop, prompting, and pre-labeling capabilities.
Labelbox offers a comprehensive suite of tools, including our LLM human preference editor, multi-modal chat editor, and Foundry for pre-labeling, along with our expert human labeling services, to power AI teams with high-quality, differentiated data for building and fine-tuning gen AI models. Labelbox customers include Fortune 500 enterprises, leading AI labs, and largely funded AI startups all looking to scale up their generative AI initiatives with a comprehensive platform and on-demand human data generation hybrid approach.
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.