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.