Named as a G2 2024 Spring High Performer and Easiest To Use in Data Labeling Software
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
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Labellerr offers automated workflow management that allows users to successfully develop, organize, and track labeling tasks. It enables project managers to assign assignments to annotators, track progress, establish deadlines, and oversee the labeling process. The workflow management function streamlines and optimizes the annotation pipeline, ensuring that projects run smoothly and on schedule.
Labellerr enables team collaboration in the labeling process to work together seamlessly. Multiple annotators can work on the same project at the same time, resulting in speedier turnaround times. To guarantee labeling accuracy and consistency, the platform offers built-in quality assurance tools such as annotation review and verification methods.
Labellerr has a customizable pricing scheme that is based on per-image pricing. Instead of committing to a set subscription or bulk package, this pricing structure allows customers to pay for the actual amount of images annotated. It is cost-effective and scalable, making it appropriate for projects of all sizes and budgets.
Labellerr's per-image pricing strategy is cost-effective and scalable, allowing users to pay for the number of images annotated that they require. While V7 Labs is quite costly, Labellerr's per-image pricing enables optimal cost control and resource utilization.
Labellerr's auto-labeling feature employs cutting-edge machine learning techniques to provide efficient annotations quickly. V7 Labs, on the other hand, may not provide the same degree of intricacy and precision in its auto-labeling capabilities.
Labellerr's platform supports image, video, document, geographic, LIDAR, medical, and other computer vision data types. V7 Labs supports a variety of file types, including uncompressed images in.png, PDF documents in.pdf, and movies in.mp4 and.mov.
Labellerr can handle large audio datasets for annotation and training. Labellerr supports a wide range of data formats, including audio, and offers a full platform for annotating and labeling audio data at scale.
Labellerr provides customer service that is available 24 hours a day, seven days a week. Labellerr's dedication to offering a smooth experience and immediately answering any inquiries or difficulties is demonstrated by the availability of round-the-clock service.
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
