Providing faster data annotation at scale with Smart Labeling
High-quality data annotation is key for training any AI/ML model successfully. After all, this is where your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting edge models to annotate all sorts of raw data, from text, to video, to audio, in order to create the accurate ground truth needed for your models.
We provide the technology and the crowd for any labeling needs - whether it’s collection, classification, annotation, transcription, or translation. See below for a full breakdown of what we offer, including image annotation, video annotation, and data labeling services.
Appen Smart Labeling
Our Smart Labeling suite of innovative capabilities uses Machine Learning assistance in the data annotation process to automate and improve productivity, quality, and delivery of your data collection and data annotation projects. Machine Learning assistance combines machine predictions with human annotations to increase the efficiency of human annotations. Appen Smart Labeling focuses on three specific areas where Machine Learning can drive quality, cost and time savings in the data annotation process:
Machine Learning provides an initial 'best guess' hypothesis before contributors start the task. With human contributors reviewing pre-processed annotations instead of starting a judgment from scratch, the time needed to annotate data drastically reduces.
Machine Learning provides for in-tool efficiency, quality and accuracy improving ergonomic conditions while contributors work. This reduces cognitive strain and allows contributors to work faster and more comfortable, increasing throughput of their annotations.
Machine Learning verifies human judgments before they are finalized. This ensures you are only paying for quality judgements, eliminating the need for peer reviews and the risk you’re paying for judgements that don’t fit your requirements.
Our Smart Labeling enables fast, scalable model deployment along with the peace of mind in knowing that our qualified contributors are there to oversee and correct any judgements if needed.
Types of Annotation Capabilities We Offer
Data Types: Text, Image, Audio, Video, URL
Collect user-generated content and links from around the web including audio, images, and websites to help your data program. We support complex data use cases like in-car audio collection or text utterance collection for chatbot programs, as well as more straightforward image/audio collection and information extraction jobs.
Data Types: Text, Image, Audio, Video, URL, Point Cloud
Classify and categorize any kind of data on a massive scale using our annotation platform. Moderate and sort high volumes of content your users provide with precision. Common use cases include content moderation, sentiment analysis, search relevance, product classification, and object classification.
Data Types: Text, Image, Audio, Video, Point Cloud
Annotate images, text, videos, point clouds, and audio with one of our annotation tools. Whether it's a simple bounding box or segmentation of audio, we can support your annotation with our state of the art technology platform. We also support text labeling tools like NER and parts of speech labeling. Many of our tools feature machine learning assistance for greater efficiency and accuracy vs human annotation alone. Find what you need in our platform's template library.
Data Types: Image, Audio, Video
Transcribe documents, images of documents, or website information using a variety of services - whether it be a single field or multiple pages. We also offer audio transcription services to cater to scaling your natural language processing (NLP) and audio speech recognition (ASR) programs.
Data Types: Text
We offer a crowd of over one million skilled contributors, with an offering of over 180 different languages. With a suite of specialized linguistic experts in-house, we are more than equipped to translate large volumes of data to reliably train your AI and ML models.
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