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. 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.





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


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Video Object tracking

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



Image Data Labeling

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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

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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

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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

Powered by Machine Learning

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 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.