Annotation Capabilities


Providing faster data annotation at scale with ML-assisted tools



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Annotation Capabilities



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. Whether it’s data annotation software, software as a service, or managed services, you’ll find the right annotation capabilities increase speed and efficiency. With the advances in data annotation software and tooling, it’s still critical to keep humans in the loop. Human interaction is a critical element in successful data annotation, and a must-have for high-quality training data.

Our leading data annotation software as a service platform and crowdsourced human network is unmatched in the industry with a crowd present in over 170 different countries and expertise in over 235 languages. Our annotation capabilities that include, but are not limited to, image annotation, video annotation, test, sensor, and audio annotation unite to provide an all-encompassing data labeling tool that helps you not only get the baseline work done, but done in such a way that you get to the finish line quickly, efficiently and above all else, accurately with high quality data. The Appen platform, a data annotation software as a service, combines this critical element of human intelligence at scale with the ground truth needed for your models to successfully operate in the real world.

We provide the technology, crowd, industry expertise, and services for any labeling needs - whether it’s collection, classification, annotation, transcription, or translation. Our managed services, data annotation software and platform, and the technology it’s built upon provide you with the complete solution. Learn more about our business and platform annotation capabilities to see how we can help your AI initiatives.





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:


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Pre-Labeling


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.


Speed Labeling


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.



Smart Validators


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.






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:




Image annotation pre-labeling

Pre-Labeling


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.



Image annotation speed labeling

Speed Labeling


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.



Image annotation smart validators

Smart Validators


Our Machine Learning models verify 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.





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Annotation Tools Powered by Machine Learning


Machine learning assistance is built-in to our industry leading annotation tools to save customers time, effort, and money – delivering high-quality training data and accelerating the ROI on your AI initiatives. Here are some of our most popular, machine learning powered tools:




Video Object tracking


Our linear interpolation and video object tracking model predicts the position of objects and automatically tracks them, reducing contributor fatigue.



Image Data Labeling


Pretrained and trainable IBM image classification models can help you save time and money by automating data labeling, and only sending low-confidence rows for human labeling.



Text Annotation


Bring your model’s predictions into the platform easily with your data, and get faster, higher quality annotations and more precise metrics on your model’s performance for retraining.



Text Utterance Collection


Machine Learning checks that collected text utterance are usable and high quality, so you can reduce the collection of unusable utterances by 35%, speeding up your chatbot testing and deployment.



Audio Annotation


Bring your model’s predictions into the platform easily with your data, and get faster, higher quality annotations and more precise metrics on your model’s performance for retraining.






Customers Running World-Class AI



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Types of Annotation Capabilities We Offer


Image annotation services Image annotation


Collect


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.

Classify


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.

Annotate


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.

Transcribe


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.  

Translate


Data Types: Text

We offer a crowd of over one million skilled contributors, with an offering of over 235 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.









Secure Data Access


Data security requirements are met for customers working with personally identifiable information (PII), protected health information (PHI), and other sophisticated compliance needs.

We have enterprise level security options to suit your sensitive data needs,


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Secure Crowd


We offer a suite of secure service offerings with flexible options to ensure data security via secure facilities, secure remote workers, and onsite services to meet specifi­c business needs.

We have enterprise level security options to suit your sensitive data needs,


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Deployment Options


Private cloud deployment 
That can be hosted on your specific cloud environment.

On-premises deployment
That can be deployed in your particular network either air-gapped or non-air-gapped.

We have enterprise level security options to suit your sensitive data needs,


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SAML-based Single Sign-on


SSO which gives members access to the data partner platform through an identity provider (IDP) of your choice.

We have enterprise level security options to suit your sensitive data needs,


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