High quality, rapid
speed model validation
Test and improve your data models with the highest quality human validation at scale
Quickly validate if a model will add value to your data
Gain insight into exactly where and how your model is failing
Utilise high quality human decisions to increase model performance
Quickly course correct and prevent complex, layered assumptions
Model performance is only
as good as its validation
Proper training is essential to good data models, and human validation is still the best way to do it. It helps artificial intelligence effectively replicate human behaviour and prevents the complex, layered assumptions created when models train other models.
However, human validation is too often expensive and difficult to scale. The greater scale, the more likelihood of false information introducing errors into the foundations of your algorithm. 1715 Labs provide thoroughly tested human validation for supervised learning.
A virtuous cycle of
01. Initial training & input
After initial training, we feed the model specific examples
02. Human observation
The model’s decisions are marked as correct/incorrect
Focusing on errors, the model is retrained with correct decisions
The model is fed both the initial and new data to monitor improvement
all your data types
Detect objects and add context to analyse imagery
Detect and categorise shapes and patterns in imagery
Categorise, label and annotate video in real time
Boundary & route analysis
Understand and map out boundaries and routes
Scale your labelling with no compromise on quality
A core challenge of data labelling is scaling your team. While small pools of workers can’t handle large datasets and increase the risk of individual error, large pools are hard to manage and likely to be less focused or knowledgable.
We have a ten year track record of using existing pools to take the weight of crowd management off your shoulders of world class companies. Participant input is statistically weighted based on their track record to combining the results of many workers for any given task and ensure the highest quality results.
Focus on unique problems with high level configuration
We provide well-tested solutions that can be rapidly implemented for more straight forward tasks, helping you focus on the more important and high impact work.
For more difficult tasks, unknown problems or new areas of research, our flexible internal toolkit and extensive experience in crowd labelling allows us to design and deploy workflows which focus crowd effort onto your specific problem. No more generic ‘place a bounding box’ results.