Named as a G2 2024 Spring High Performer and Easiest To Use in Data Labeling Software
.webp)
AI assisted collaborative SaaS platform that enables data science teams to easily connect already available data and make it ready for most powerful training data platform with feedback loop
.svg)
.svg)
.svg)
.svg)
Labellerr provides the export feature to generate reports quickly by applying filters based on the Annotater ids, Datasets, Date and time ranges, Objects and Classifications. In Labelbox, sometimes there is a lag in generating Reports.
Reviewing outputs is easy on Labellerr as compare to Labelbox. Labellerr has the feature of Advance filters based on the file activity status such as no. of files annotated, reviewed, client reviewed, rejected, skipped etc. It also has an extensive filter based on Dataset levels, Range of dates, Cumulative score and Remarks given.
Labellerr has developed "Smart feedback loop" that could be customized for a different use cases with very less effort and then it would cover the iterative nature of model training fully autonomous. Custom ML model building has been a huge challenge for the ML community, as it requires a good amount of capital and time, to begin with. Customization is a smarter way is to bring automation to your continuous training data pipeline.
Labellerr is a better option due to its smart feedback technology and its advanced filters, pricing based on annotations. Labellerr also has built-in quality assurance features, visibility into labeling spend, productivity metrics, and model predictions, making it more suitable for users working with these data types.
LabelGPT is an AI-powered solution by Labellerr that revolutionizes prompt-based labeling for data enthusiasts. It is the only training data platform with a Smart Feedback Loop, aiding AI-first organizations in developing computer vision AI.
Labellerr puts a high priority on data security and privacy by putting in place strict safeguards to secure client information. This involves adherence to pertinent data protection laws, access limits, data encryption, and secure data transport methods.
Even though both Labelbox and Labellerr are capable of managing large-scale annotation projects, it is advised to compare their features and functionalities to choose which one is best for your requirements.
Labeller understands that every project has its own set of specifications. To ensure correct and pertinent annotations, we provide customization options to mold the annotation services and workflows to meet particular project demands.
Tensor Matics Inc
44, Tehama St,
San Francisco, CA
USA 94107
Phone:+16283133187
Registered Office
651 N Broad St, Suite 201, Middletown, New Castle 19709 Delaware
Tensor Matics Pvt Ltd
SCO 224, Level 1 and 2, Sector 37 C, Chandigarh, 160036, India
Phone: +917565883102
