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By Alegion
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How would you rate your experience with Alegion?
Labeler Quality
10 reviewers of Alegion have provided feedback on this feature.
Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.
Task Quality
This feature was mentioned in 10 Alegion reviews.
Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.
Data Quality
Ensures the data is of a high quality as compared to benchmark.
Human-in-the-Loop
As reported in 10 Alegion reviews.
Gives user the ability to review and edit labels.
Machine Learning Pre-Labeling
Based on 10 Alegion reviews.
Uses models to predict the correct label for a given input (image, video, audio, text, etc.).
Automatic Routing of Labeling
Automatically route input to the optimal labeler or labeling service based on predicted speed and cost.
Image Segmentation
Has the ability to place imaginary boxes or polygons around objects or pixels in an image.
Object Detection
has the ability to detect objects within images.
Object Tracking
Track unique object IDs across multiple video frames
Data Types
Supports a range of different types of images (satelite, thermal cameras, etc.)
Named Entity Recognition
Gives user the ability to extract entities from text (such as locations and names).
Sentiment Detection
Gives user the ability to tag text based on its sentiment.
OCR
Gives user the ability to label and verify text data in an image.
Transcription
Allows the user to transcribe audio.
Emotion Recognition
Gives user the ability to label emotions in recorded audio.
