Inference Utilities

Customize predictions (inference results) from computer vision models for use in applications.

GitHub Repositories
Computer Vision Utilities
Interface with the Roboflow API and Python package for running inference (receiving predictions) from your computer vision models and customizing predictions for use in applications.
GitHub - roboflow/roboflow-computer-vision-utilities: Interface with the Roboflow API and Python package for running inference (receiving predictions) and customizing result images from your Roboflow Train computer vision models.
GitHub
GitHub Repository: Inference Scripts
Supervision
Supervision is a set of easy-to-use utilities that will come in handy in any computer vision project for customizing inference outputs and visualization.
GitHub - roboflow/supervision: A set of easy-to-use utils that will come in handy in any Computer Vision project
GitHub
GitHub Repository: Supervision Inference Customization Utilities
Documentation
Supervision
Supervision Documentation
Response Object Formats
Below are links to Roboflow Docs pages outlining the JSON Response Object formats for different model types (e.g Object Detection, Classification, Instance and Semantic Segmentation).
​Response Object Format - Object Detection
​Response Object Format - Classification
​Response Object Format - Instance Segmentation
​Response Object Format - Semantic Segmentation
Templates
Connect computer vision models to your business logic with our pre-made templates.
Roboflow Templates
Roboflow Computer Vision Templates
Preview of Roboflow Templates

Active Learning

Object Counting

Last modified 6d ago