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Data annotation is a process to turn unstructured data (like images, videos, text and audio) into structured data to make it ready for model training. Today we find ourselves surrounded by large volume of raw data. Our data annotation platform helps AI teams to create high quality labelled data for computer vision model training.
Based on project requirement one can multiple different annotation on data for example classification, bounding boxes, polygon and key point annotation. One can perform data labeling on different modalities like image annotation, text classification, semantic annotation, video annotation etc.
Object detection, object tracking, segmentation and classification are some of the most popular image labeling methods. Labellerr support all kind of image labeling.
Labellerr support classification, tracking, key-point annotation, and object detection on a video or image sequence with auto labeling feature.
Name entity recognition, sentiment analysis, classification, intent annotation and more on text data with automation can be performed on our platform
Let Labellerr be your trustworthy partner in healthcare innovation as we turn unprocessed data into invaluable insight with our thorough annotation services, opening the door for ground-breaking study and individualized patient care.
Labellerr's annotation services bridge the gap between cutting-edge technology and compassionate agriculture for a better future using the synergy between human knowledge and artificial intelligence.
Labellerr's smart feedback loop helps ML team to automate their computer vision data pipeline efficiently. Even at production!
Some of the production usecase example where Labellerr's revolutionary "Smart Feedback Loop" helping ML teams to get ground truth labels and model training super fast and simple.
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Data annotation is the process to create a meta information layer over data, that help algorithm identify objects inside the image pixel level or classify the category of image/text/pdfs/audio. It is the prerequisite to model training.
Data annotation is the process to tag data at classification level or pixel level meta description creation. Human tag data based on guideline created by ML team that AI suppose the detect or classify the data.
There are different data annotation platform available in the market. For example open source free tool with limited functionality and premium paid tool that comes with all the features necessary to manage data annotation process efficiently. Labellerr is a premium tool that can handle 2D images, pdfs, audio, video and text file and also provide expert-in-the-loop.
Yes, all our service providers are security compliant.
That depends on data complexity and data volume. Please refer Labellerr pricing here.
Managing the quality of annotation, speed of throughput and user management are some of the common challenge in data annotation, Labellerr's platform and team is well eqipped to handle all possible challenges in data annotation.
Practically all major industries use data annotation. Primarily automotive, defence, retail, healthcare, manufacturing, government, and agritech uses data annotation.
Yes
By putting up a process of multiple quality check layer and automation can help to ensure data annotation quality (edited)
Tensor Matics Inc
651 N Broad St, Suite 201,
Middletown, New Castle 19709 Delaware
Tensor Matics Pvt Ltd
SCO 301-302, 35B, Sector 35, Chandigarh, 160035
Phone: +917565883102
