Datature Features

Deployment (9)

Language Flexibility: As reported in 19 Datature reviews. Allows users to input models built in a variety of languages.
Framework Flexibility: Allows users to choose the framework or workbench of their preference. 21 reviewers of Datature have provided feedback on this feature.
Versioning: Based on 20 Datature reviews. Records versioning as models are iterated upon.
Ease of Deployment: Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 22 Datature reviews.
Scalability: As reported in 22 Datature reviews. Offers a way to scale the use of machine learning models across an enterprise.
Framework Flexibility: Allows users to choose the framework or workbench of their preference. 22 reviewers of Datature have provided feedback on this feature.
Versioning: Records versioning as models are iterated upon. 21 reviewers of Datature have provided feedback on this feature.
Ease of Deployment: Provides a way to quickly and efficiently deploy machine learning models. 21 reviewers of Datature have provided feedback on this feature.
Scalability: Offers a way to scale the use of machine learning models across an enterprise. 23 reviewers of Datature have provided feedback on this feature.

Cataloging: Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 19 Datature reviews.
Monitoring: Based on 20 Datature reviews. Tracks the performance and accuracy of machine learning models.
Governing: As reported in 18 Datature reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.
Model Registry: Allows users to manage model artifacts and tracks which models are deployed in production. This feature was mentioned in 21 Datature reviews.
Cataloging: As reported in 18 Datature reviews. Records and organizes all machine learning models that have been deployed across the business.
Monitoring: As reported in 19 Datature reviews. Tracks the performance and accuracy of machine learning models.
Governing: Provisions users based on authorization to both deploy and iterate upon machine learning models. This feature was mentioned in 17 Datature reviews.

Labeler Quality: Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more. This feature was mentioned in 21 Datature reviews.
Task Quality: Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more. This feature was mentioned in 23 Datature reviews.
Data Quality: Ensures the data is of a high quality as compared to benchmark. 22 reviewers of Datature have provided feedback on this feature.
Human-in-the-Loop: Based on 22 Datature reviews. Gives user the ability to review and edit labels.

Image Segmentation: Has the ability to place imaginary boxes or polygons around objects or pixels in an image. 23 reviewers of Datature have provided feedback on this feature.
Object Detection: has the ability to detect objects within images. This feature was mentioned in 23 Datature reviews.
Object Tracking: As reported in 20 Datature reviews. Track unique object IDs across multiple video frames
Data Types: Supports a range of different types of images (satelite, thermal cameras, etc.) This feature was mentioned in 23 Datature reviews.

Named Entity Recognition: Based on 21 Datature reviews. 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. 17 reviewers of Datature have provided feedback on this feature.
OCR: Gives user the ability to label and verify text data in an image. 19 reviewers of Datature have provided feedback on this feature.

Metrics: Control model usage and performance in production 23 reviewers of Datature have provided feedback on this feature.
Infrastructure management: Based on 20 Datature reviews. Deploy mission-critical ML applications where and when you need them
Collaboration: As reported in 21 Datature reviews. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.