With more than 1000+ full-time Data Labelers our teams are working around the clock to cater to our clients’ requirements with the highest quality of data annotation & labeling.
Businesses might have gathered a vast amount of data and wish to extract important insights or valuable information from it.
However, you will be unable to use the training data effectively unless you have a clear grasp of your project needs or business objectives. So instead of digging through your data looking for patterns or meaning. Instead, collaborate with us to avoid solving the problems incorrectly.
Data Labeler complies with HIPAA and SOC2. We have helped clients from various sectors such as Insurance, Agriculture, Livestock Monitoring, and more. We do our best to comply with your security demands.
ML-assisted Labeling is a functionality available in Data Labeler. Your labeling model can be quickly integrated, called using an API, and labels can be applied to your project automatically. We also accept files with pre-annotations.
The only way to mitigate bias is to actively remove bias before it is included in your model. Data bias could take on any shape, from problems with the feedback loops to datasets that are not representative. The best way to combat the many types of prejudice is to stay up to date on the most recent advances and establish strong process standards and frameworks.
The creation of ML models benefits all companies in some way. Not every company has the technological know-how or knowledgeable data labeling teams needed to turn raw data into insightful information. Contact us now