Named as a G2 2024 Spring High Performer and Easiest To Use in Data Labeling Software
AI assisted collaborative SaaS platform that enables computer vision 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 provides custom support with an end to end AI platform for training the data. Its turnaround time is less then Appen to complete the whole process and to quickly build an ML model.
In labellerr, Project creation, qualification and approval process is faster and can complete in a short time span. Our team's focus is always on how to make clients' ML team life easier. We help ML teams to check the status of a project at each stage where they struggle to find out the state of the file.
Labellerr has the feature of smart feedback loop that automates the whole process, making the overall data pipeline more efficient and easy to manage without missing a beat. It stores all the activities, remarks, guideline and see the images, videos at pixel level to make computer vision data pipeline automated.
Labellerr is a better alternative compared to Appen because it offers automation, speed, and customization. Despite the fact that Appen also provides outsourced labeling services, it is quite expensive and complex to manage in terms of cost and quality control.
Both Appen and Labellerr's workforces might be of varying caliber. Labellerr provides a curated third-party data annotation workforce best suited for your use case and industry while some users have raised concerns regarding the workforce caliber of the Appen.
Compared to Appen, Labellerr provides automation, speed, and customization. Its workforce for curated third-party data annotation is different from Appen's combination of human intelligence and cutting-edge algorithms for high-quality training. A larger variety of data annotation types and auto-labeling are supported by Labellerr.
JSON, CSV, YOLO V5, and COCO are supported by Labellerr as standard output formats for annotations. Also, it's important to note that Labellerr is not just restricted to these formats; it can also handle additional formats.
Labellerr is best suitable for automation, speed, ease of use, and customization, while Appen offers a scalable workforce and annotation services, including natural language tasks, for projects.
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
