Segments.ai Features

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Can integrate well with other software.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Allows users to manage model artifacts and tracks which models are deployed in production.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Based on 15 Segments.ai reviews. Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.

Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more. 14 reviewers of Segments.ai have provided feedback on this feature.

Ensures the data is of a high quality as compared to benchmark. 14 reviewers of Segments.ai have provided feedback on this feature.

Based on 12 Segments.ai reviews. Gives user the ability to review and edit labels.

Uses models to predict the correct label for a given input (image, video, audio, text, etc.). 11 reviewers of Segments.ai have provided feedback on this feature.

Based on 15 Segments.ai reviews. Has the ability to place imaginary boxes or polygons around objects or pixels in an image.

has the ability to detect objects within images. 14 reviewers of Segments.ai have provided feedback on this feature.

Track unique object IDs across multiple video frames 11 reviewers of Segments.ai have provided feedback on this feature.

Supports a range of different types of images (satelite, thermal cameras, etc.) 11 reviewers of Segments.ai have provided feedback on this feature.

Gives user the ability to tag text based on its sentiment. This feature was mentioned in 10 Segments.ai reviews.

Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Provides the ability to recognize various types of objects in various scenarios and settings.

Provides the ability to recognize texts.

Processes video, or image sequences, to track objects or individuals.

Provides the ability to detect objects, humans, etc. in video footage.

Allows users to train model and provide feedback regarding the model's outputs.

Allows users to select given items in an image for the purposes of image recognition.

Provides the ability to build custom image detection models.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.