Providing faster data annotation at scale with machine learning-assisted tools
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. The Appen platform combines human intelligence at scale with cutting edge models to annotate all sorts of raw data, from text, to video, to audio, 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.
Powered by Machine Learning
A large majority of our annotation tools have machine learning assistance (MLA) built in to enhance the speed and accuracy of our annotators. Machine learning assistance combines machine predictions with human annotations so that instead of having to create a judgement from scratch, a machine learning model will suggest a judgment, and the human contributor can simply review and edit the suggestion saving time and effort.
With human contributors reviewing machine predictions instead of starting a judgement from scratch, the data annotation time drastically reduces. This enables fast, scalable model deployment along with the peace of mind in knowing that our teams are there to confirm and correct your model predictions if needed.
Image and Video Annotation and Transcription
We support a broad range of computer vision tooling including object tracking, pixel level semantic segmentation and image transcription. All these tools support bringing your own model hypothesis for faster annotation and better model validation.
Text Annotation and Translation
We offer large scale text classification and NLP labeling including named entity recognition and parts of speech labeling. All these tools support bringing your own model hypothesis for faster annotation and better model validation. We also offer computer aided translation for machine learning projects.
Audio Annotation and Transcription
We offer a scalable audio data pipeline including collection, segmentation, event labeling, and transcription. All these tools support bringing your own model hypothesis for faster annotation and better model validation.
Data Collection and Enrichment
We support an extensive data collection pipeline for audio, websites, text, and images. Supported use cases include training data creation for ASR and text-based conversational agents. Any data we can see, can be enriched with metadata or additional information. We use ML models to validate the quality of human submitted input to quickly complete broad scale data collection projects.
Whether you are doing sentiment analysis, content moderation, or search relevance tuning, we offer extremely large-scale, data classification pipelines for any data classification needs. Proprietary quality control technologies allow for 95%+ accuracy and precision, with minimal effort.
Point Cloud Annotation
Our point cloud annotation tool allows for cuboid annotation for autonomous vehicles, as well as manufacturing and agriculture. Machine aided annotation allows for large scale annotation to be completed quickly and accurately.
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 at 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 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.
Types of Annotation Capabilities We Offer
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