
ANNOTATION CAPABILITIES
Providing faster data annotation at scale with ML-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 EGL 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 the collection, classification, annotation, transcription, or translation.


EGL 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. EGL Smart Labeling focuses on three specific areas where Machine Learning can drive quality, cost, and time savings in the data annotation process:

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 comfortably, increasing the throughput of their annotations.

SMART VALIDATORS
Machine Learning verifies human judgments before they are finalized. This ensures you are only paying for quality judgments, eliminating the need for peer reviews and the risk you’re paying for judgments 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 judgments if needed.
ANNOTATION TOOLS
VIDEO OBJECT TRACKING
Our linear interpolation and video object tracking model predicts objects' position 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 utterances 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.
