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
Labellerr provides custom support with an end to end AI platform for training the data for each type of annotation. In CVAT, Support for certain types of annotations is very limited and exists for certain attribute annotation, entity recognition, and OCR annotation only.
You can see the details of each and every page & functionality of labellerr in help section of website.
Limited source code documentation is there in CVAT. If you want to get your hands on the development side, it won’t be easy.
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 offers customized help with an end-to-end AI platform for training data for each sort of annotation, while CVAT is an open-source annotation tool for computer vision tasks. In contrast to CVAT, Labellerr additionally offers a selected workforce of third parties for data annotation that is most suited to your use case and sector.
CVAT enables computer vision operations, however, teams are only allowed to use restricted types of data. The annotation of data for Geospatial (tiled imagery), Audio, Text, or Documents is not a feature of CVAT.
Labellerr is a better option for supporting human-in-the-loop technology.. Using Labellerr's smart feedback loop technology can cut down on expenses, and reduce time, and human error risks. It provides an end-to-end AI platform for training data for each sort of annotation and enables ML teams more room to experiment further with novel techniques.
Major cloud infrastructure providers including AWS, GCP, and Azure Blob Storage are all supported by CVAT and Labellerr.
Labellerr is a better alternative to CVAT for huge data annotation that offers personalized assistance, an all-encompassing AI platform for training data, and a curated third-party data annotation workforce targeted to your use case and sector. For applications utilizing AI, CVAT lacks premium features, customization, and outside labeling teams.